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This tutorial is intended for non specialist, it involves as less maths as possible and present most results with GNURadio flowgraph. Some examples involving simple modulation scheme used in HAM radio are presented. While introducing complex signal can be seen as increasing complexity, we will see that it drastically simplify | This tutorial is intended for non specialist, it involves as less maths as possible and present most results with GNURadio flowgraph. Some examples involving simple modulation scheme used in HAM radio are presented. While introducing complex signal can be seen as increasing complexity, we will see that it drastically simplify some impairment such as synchronization. | ||

If you are searching for more detailed information please refer to corresponding literature such as references [[#ancre1|[1]]],[[#ancre2|[2]]],[[#ancre3|[3]]]. | If you are searching for more detailed information please refer to corresponding literature such as references [[#ancre1|[1]]],[[#ancre2|[2]]],[[#ancre3|[3]]]. | ||

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This section summarize complex numbers properties used in this tutorial. More information can be found on | This section summarize complex numbers properties used in this tutorial. More information can be found on | ||

[[wikipedia: Complex number|complex number Wikipedia page | [[wikipedia: Complex number|complex number Wikipedia page]]. | ||

[[File:IQ_complex_tutorial_polar2.png|frame|Complex number ''z''=''a'' + ''jb'']] | [[File:IQ_complex_tutorial_polar2.png|frame|Complex number ''z''=''a'' + ''jb'']] | ||

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GNURadio software is mainly used to design and study radio communications. Making high frequency transmission requires modulating a high frequency carrier at frequency ''F<sub>0</sub>''. The most common modulation for analog transmissions are Amplitude modulation (AM) Phase modulation (PM) and Frequency modulation (FM). | GNURadio software is mainly used to design and study radio communications. Making high frequency transmission requires modulating a high frequency carrier at frequency ''F<sub>0</sub>''. The most common modulation for analog transmissions are Amplitude modulation (AM) Phase modulation (PM) and Frequency modulation (FM). | ||

For analog AM, the modulated signal ''m(t)'' is simply the mathematical product of the carrier ''c(t)'' and the baseband signal to transmit ''a(t)''. The corresponding hardware is a mixer whose scheme is a multiplier. | |||

For analog AM, the modulated signal ''m(t)'' is simply the mathematical product of the carrier ''c(t)'' and the baseband signal to transmit ''a(t)''. The corresponding hardware is a mixer whose scheme | |||

: <math>m(t) = a(t) c(t) = a(t) \cos(2\pi f_0t)</math> | : <math>m(t) = a(t) c(t) = a(t) \cos(2\pi f_0t)</math>SCHéMA | ||

We call ''a(t)'' a baseband signal since its spectrum is in a low frequency range starting near 0 Hz (For example [0-20kHz] for an HIFI audio signal). | We call ''a(t)'' a baseband signal since its spectrum is in a low frequency range starting near 0 Hz (For example [0-20kHz] for an HIFI audio signal). | ||

The spectrum of an AM modulated signal ''M(f)'' is the translation or the audio spectrum ''A(f)'' around | The spectrum of an AM modulated signal ''M(f)'' is the translation or the audio spectrum ''A(f)'' around ''F<sub>0</sub>'' with ''A(f)'' being the whole spectrum using both positive and negative frequencies | ||

: <math>M(f) = \frac{1}{2}\big(A(f-f_0) + A(f+f_0)\big)</math> | : <math>M(f) = \frac{1}{2}\big(A(f-f_0) + A(f+f_0)\big)</math>SCHéMA | ||

N.B. Negative frequencies are often omitted | N.B. Negative frequencies are often omitted since for real signal (''a(t)'', ''m(t)'' are real) the power spectrum are symetric around zero as will be detailed later. | ||

Up to now we have been dealing with real signal. The need for complex signal appears in the next step. Simulation requires sampled signal. Sampling is the operation of observing a continuous signal and taking a finite number of sample at a given sampling rate ''f<sub>s</sub>'' (i.e; one sample each 1/''f<sub>s</sub>'' second) | Up to now we have been dealing with real signal. The need for complex signal appears in the next step. Simulation requires sampled signal. Sampling is the operation of observing a continuous signal and taking a finite number of sample at a given sampling rate ''f<sub>s</sub>'' (i.e; one sample each 1/''f<sub>s</sub>'' second). Nyquist Sampling theorem states that the sampling rate must be greater than twice the maximum frequency ''F<sub>Max</sub>'' to be able to reconstruct the original signal from the sampled signal. | ||

: <math>f_s > F_{Max}</math> | : <math>f_s > F_{Max}</math> | ||

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For an HIFI audio signal, maximum audio frequency <math>F_{Max Audio}</math> is closed to 20 kHz, sampling rate must be higher then 40 kHz (44.8 kHz is often used in computer sound card, 8 kHz is used for mobile phone since voice has a lower frequency range then HIFI audio). | For an HIFI audio signal, maximum audio frequency <math>F_{Max Audio}</math> is closed to 20 kHz, sampling rate must be higher then 40 kHz (44.8 kHz is often used in computer sound card, 8 kHz is used for mobile phone since voice has a lower frequency range then HIFI audio). | ||

For an AM signal modulated by an audio signal, maximum frequency | For an AM signal modulated by an audio signal, maximum frequency is <math>F_{Max}=F_0+F_{Max Audio}</math>. Direct sampling of such signal is not possible with conventionnal hardware such as low cost SDR dongle. If the carrier frequency is close to 1 GHz, the sampling rate should be 2 GHz. This is obviously too much then computer cans handle (higher then most computer clock). | ||

== Complex enveloppe, equivalent baseband signal== | == Complex enveloppe, equivalent baseband signal== | ||

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Bandpass signals have no energy near 0 Hz and a spectrum located near a high frequency (generally the carrier frequency). Analog and digital AM PM and FM modulated signals are bandpass signals. | Bandpass signals have no energy near 0 Hz and a spectrum located near a high frequency (generally the carrier frequency). Analog and digital AM PM and FM modulated signals are bandpass signals. | ||

A theorem ([[#ancre1|[1]]],[[#ancre2|[2]]],[[#ancre3|[3]]]) states that any high frequency bandpass signal having a limited bandwidth ''B'' can be represented by a baseband equivalent signal having the same bandwidth. This baseband equivalent signal also called the complex envelope is used in simulators since its allow to lower sampling rate as compare to directly sampling the bandpass signal. | A theorem ([[#ancre1|[1]]],[[#ancre2|[2]]],[[#ancre3|[3]]]) states that any high frequency bandpass signal having a limited bandwidth ''B'' can be represented by a baseband equivalent signal having the same bandwidth. This baseband equivalent signal also called the complex envelope is used in simulators since its allow to lower sampling rate as compare to directly sampling the bandpass signal. | ||

The equivalent baseband representation help us for the simulation of bandpass signals. At this step we need some math. We will consider a carrier modulated in phase and/or amplitude (in the sake of simplicity, Frequency modulation is not considered but it can be related to phase modulation.). Such a modulated signal ''m(t)'' and it's complex representation <math>\tilde{m}(t)</math> is : | The equivalent baseband representation help us for the simulation of bandpass signals. At this step we need some math. We will consider a carrier modulated in phase and/or amplitude (in the sake of simplicity, Frequency modulation is not considered but it can be related to phase modulation.). Such a modulated signal ''m(t)'' and it's complex representation <math>\tilde{m}(t)</math> is : | ||

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For modulated signal, the complex representation is obtained by replacing the cos function by an exponent function . For a more general definition see [[#ancre1|[1]]],[[#ancre2|[2]]],[[#ancre3|[3]]] . The real signal correspond to the real part of the complex signal <math>m(t)=\text{Re}(\tilde{m}(t))</math>. | For modulated signal, the complex representation is obtained by replacing the cos function by an exponent function . For a more general definition see [[#ancre1|[1]]],[[#ancre2|[2]]],[[#ancre3|[3]]] . The real signal correspond to the real part of the complex signal <math>m(t)=\text{Re}(\tilde{m}(t))</math>. | ||

One important property of <math>\tilde{m}(t)</math> spectrum <math>\tilde{M}(f)</math> is that it has only energy in the positive frequency range and verify. | One important property of <math>\tilde{m}(t)</math> spectrum <math>\tilde{M}(f)</math> is that it has only energy in the positive frequency range and verify. | ||

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== IQ modulator and demodulator== | == IQ modulator and demodulator== | ||

Let us now come to hardware and SDR and first rewrite the equivalent baseband signal and the modulated signal ''m(t)'' : | Let us now come to hardware and SDR and first rewrite the equivalent baseband signal and the modulated signal ''m(t)'' : | ||

: <math>m^{bb}(t)=a(t) e^{j \phi(t)} =i(t) + j q(t)</math> | : <math>m^{bb}(t)=a(t) e^{j \phi(t)} =i(t) + j q(t)</math> | ||

: <math>m(t)=\text{Re} \left[ | : <math>m(t)=\text{Re} \left[ (i(t)+jq(t)) e^{j2\pi F_0t} \right]</math> | ||

: <math>m(t)=i(t) \cos( | : <math>m(t)=i(t) \cos(j2\pi F_0t) -q(t)) \sin(j2\pi F_0t)</math> | ||

SCHEM i(t) q(t), phase, amplitude) | |||

As a result, the modulated signal ''m(t)'' is the addition of : | As a result, the modulated signal ''m(t)'' is the addition of : | ||

* <math>i(t) \cos( | * <math>i(t) \cos(j2\pi F_0t)</math> which is an AM modulated signal, the product of ''i(t)'' by a signal In phase with the carrier (i stand for In phase) | ||

* <math>q(t) \sin(- | * <math>q(t) \sin(-j2\pi F_0t)</math> which is an AM modulated signal, the product of ''q(t)'' by a signal in Quadrature with the carrier (q stand for Quadrature) | ||

The corresponding hardware is called an IQ modulator. Every modern radio communication uses IQ modulator for emitting and IQ demodulator for receiving. The IQ demodulator is able to recover incoming | The resulting ''m(t)'' can be any modulated in AM, PM or even FM signal. The corresponding hardware is called an IQ modulator. Every modern radio communication uses IQ modulator for emitting and IQ demodulator for receiving. The IQ demodulator is able to recover incoming ''i(t)'' and ''q(t)''. | ||

SCHEMA MID DMIQ | |||

SDR Module such as USRP [https://www.ettus.com/all-products/usrp-n320/|(USRP N320 block Diagram)] and SDR Dongle [https://www.programmersought.com/article/59454592969/| (RTL-2832)] input and output are the 2 real signals ''i(t)'' and ''q(t)'' combined to form the complex signal ''i(t) + j q(t)'' which turns to be the equivalent baseband of the modulated emitted or received signal. These hardware are based on IQ modulator and IQ demodulator associated with mixers when intermediate frequency (IF) is used. | SDR Module such as USRP [https://www.ettus.com/all-products/usrp-n320/|(USRP N320 block Diagram)] and SDR Dongle [https://www.programmersought.com/article/59454592969/| (RTL-2832)] input and output are the 2 real signals ''i(t)'' and ''q(t)'' combined to form the complex signal ''i(t) + j q(t)'' which turns to be the equivalent baseband of the modulated emitted or received signal. These hardware are based on IQ modulator and IQ demodulator associated with mixers when intermediate frequency (IF) is used. | ||

== Some examples of EqBB signals == | == Some examples of EqBB signals == | ||

In order to get familiar with complex signal, let us consider some | In order to get familiar with complex signal, let us consider some simple examples. | ||

=== complex envelope of a pure sine wave === | === complex envelope of a pure sine wave === | ||

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The complex envelope of the carrier itself is found for ''Δf''=0 and ''φ''=0 which yields <math>m^{bb}(t) = A</math>. We conclude that in a GNURadio flowgraph, the carrier is represented by a continuous components, a pure DC signal ; this may seemed counter intuitive. The spectrum <math>M^{bb}(f)</math> is a single peak at ''f=0'' which can be represented using the Dirac ''δ(f) function (or distribution)'' : <math>M^{bb}(f)=\delta(f))</math>. Shifting this spectrum of <math>+F_0</math> towards positive frequency we get the positive part of the carrier spectrum (a peak at <math>+F_0</math>) : <math>M^+(f)=\delta(f-F_0))</math>. The negative part of the spectrum is simply obtained by symmetry of the real part (a peak at <math>-F_0</math>). | The complex envelope of the carrier itself is found for ''Δf''=0 and ''φ''=0 which yields <math>m^{bb}(t) = A</math>. We conclude that in a GNURadio flowgraph, the carrier is represented by a continuous components, a pure DC signal ; this may seemed counter intuitive. The spectrum <math>M^{bb}(f)</math> is a single peak at ''f=0'' which can be represented using the Dirac ''δ(f) function (or distribution)'' : <math>M^{bb}(f)=\delta(f))</math>. Shifting this spectrum of <math>+F_0</math> towards positive frequency we get the positive part of the carrier spectrum (a peak at <math>+F_0</math>) : <math>M^+(f)=\delta(f-F_0))</math>. The negative part of the spectrum is simply obtained by symmetry of the real part (a peak at <math>-F_0</math>). | ||

This | This is simulated with this GNURadio flowgraph. The spectrum of our carrier is centered at 0 Hz. The Frequency sink has a feature to shift this spectrum around <math>F_0</math> which is a parameter of the sink. In a simulation, it is not necessary to represent the negative part of the spectrum since ''m(t'') being real, it spectrum is obviously symmetric. | ||

We will now consider ''Δf'' ≠0 which | We will now consider ''Δf'' ≠0 which yields | ||

: <math>m^{bb}(t) = A e^{2j\pi \Delta ft}</math> | : <math>m^{bb}(t) = A e^{2j\pi \Delta ft}</math> | ||

The complex enveloppe is rotating vector (you can simulate this with ''Δf''=1 Hz giving a vector which rotate at 60 rpm or 1 turn per second) , its spectrum is a single peak at ''f=+Δf''. This complex signal exhibits a non symmetric spectrum (no peak at ''f=-Δf''). Change ''Δf'' to -0.5 Hz, the vector now rotates counter clockwise at 30 rpm or 0.5 turn per second. | The complex enveloppe is rotating vector (you can simulate this with ''Δf''=1 Hz giving a vector which rotate at 60 rpm or 1 turn per second) , its spectrum is a single peak at ''f=+Δf''. This complex signal exhibits a non symmetric spectrum (no peak at ''f=-Δf''). Change ''Δf'' to -0.5 Hz, the vector now rotates counter clockwise at 30 rpm or 0.5 turn per second. | ||

Exercice: | Exercice: | ||

* Use the flowgraph to simulate a positive and a negative ''Δf'' and verify the above results. | |||

* Modify the flowgraph (QT GUI Range) to simulate ''Δf'' larger than the sampling rate ''f<sub>s</sub>'' ranging from -2''f<sub>s</sub>'' to +2''f<sub>s</sub>''. Explain the obtained results. | |||

* | |||

=== AM mod demod example=== | === AM mod demod example=== | ||

This example will consider signal baseband signal ''a(t)'' modulating a carrier at F<sub>0</sub> in AM, and its demodulation. As no phase modulation in used, | This example will consider signal baseband signal ''a(t)'' modulating a carrier at F<sub>0</sub> in AM, and its demodulation. As no phase modulation in used, \phi;(t)=0 and consequently ''q(t)''=0. | ||

: <math>m(t) = a(t) \cos (2\pi (F_0t)=i(t) \cos (2\pi F_0t) -q(t) \sin (2\pi F_0t)= </math> | : <math>m(t) = a(t) \cos (2\pi (F_0t)=i(t) \cos (2\pi F_0t) -q(t) \sin (2\pi F_0t)= </math> | ||

: <math>i(t) = a(t) </math> | : <math>i(t) = a(t) </math> | ||

: <math>q(t) = 0</math> | : <math>q(t) = 0</math> | ||

AM modulation is a special case for which the equivalent baseband complex signal has a null imaginary part and is real. Considering the schematic diagram of an IQ modulator demodulator, when ''q(t)) | AM modulation is a special case for which the equivalent baseband complex signal has a null imaginary part and is real. Considering the schematic diagram of an IQ modulator demodulator, when ''q(t))' is null the diagram is simplified (imaginary path is not used) yielding the well known AM modulation/demodulation scheme. | ||

SCHEMA AM complex ET réel | |||

aa | |||

Flowgraph xxx contains two transmission diagram, the upper on using real signals, the lower one using equivalent baseband signals. Both diagrams yield the same demodulated signal and spectrum: they are equivalent. However, the sampling rate used differs: | |||

* Complex signal diagram : ''F<sub>s</sub>''=40 kHz , it must be higher than Fmax. | |||

* Real signal diagram : ''F<sub>s</sub>''=200 Khz it must be higher than ''F<sub>0</sub>''+Fmax, which will become prohibitive if gHZ frequency carrier are used. | |||

Unfortunately, these simulations suppose perfectly synchronous emitter and receiver carrier (identical frequency and phase). In real world this will never happen as will be discussed later in the tutorial. | |||

=== QPSK example === | === QPSK example === | ||

QPSK digital signal exhibit four phase state <math>\phi \in \{\pi/4, 3\pi/4, -3\pi/4, \-pi/4\}</math>. | |||

QPSK digital signal exhibit four phase state <math>\phi \in \{\pi/4, 3\pi/4, -3\pi/4, - | |||

: <math>m^{bb}(t)=a(t) e^{j \phi(t)} =i(t) + j q(t)</math> | : <math>m^{bb}(t)=a(t) e^{j \phi(t)} =i(t) + j q(t)</math> | ||

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: <math>m^{bb}(t) \in \{1+j , -1+j , -1-j, 1-j \}</math> | : <math>m^{bb}(t) \in \{1+j , -1+j , -1-j, 1-j \}</math> | ||

At this step, we consider unfiltered QPSK. The QPSK modulator/demodulator (complex representation) correspond to flowgraph XXX. The upper flowgraph is a classic QPSK. The constellation '' q(t)'' versus ''i(t)'') shows that this signal exhibit only the 4 phase state. | |||

The lower diagram is similar, however, only 3 phase states are used as shows the constellation diagram. This QPSK has not practical interest, it will be usefull for further work in this tutorial. | |||

Simulating these diagrams clearly shows that the complex baseband signal spectrum is no longer symmetric as expected for complex signals. As for the previous example, this simple modulation/demodulation scheme is far from reality and we will have to investigate synchronisation later. | |||

== Spectrum properties of signals (put that before)== | |||

=== real signal === | |||

=== complex signal === | |||

=== sampled signals === | |||

== Equivalent baseband scheme == | == Equivalent baseband scheme == | ||

This diagram sketch a classical Tranceiver Receiver (Tx/Rx).in order to simulates this, we need a equivalent representation of | |||

This diagram sketch a classical | * this IQ modulator and demodulator | ||

* bandpass filters | |||

* unsynchronized receiver | |||

* channel noise | |||

Note that complex baseband signal don't permit to precisely modelize non linear effects such as intermodulation so they are not considered here. | |||

=== Bandpass filter=== | === Bandpass filter=== | ||

=== Unsynchronized demodulator === | === Unsynchronized demodulator === | ||

=== Channel noise === | === Channel noise === | ||

=== Tx/Rx baseband model === | |||

The following diagram is the baseband equivalent of the TX/RX given above. | |||

== | == E/R QPSK avec canal /synchro== | ||

==References== | ==References== |