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GNURadio as a digital signal processing environment: application to acoustic wireless sensor measurement and time & frequency analysis of periodic signals

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GNURadio as a digital signal processing environment: application to acoustic wireless sensor measurement and time & frequency analysis of periodic signals

J.-M Friedt (SENSeOR, c/o FEMTO-ST Time & Frequency, Besan¸con, France – Email:[email protected]) Digital signal processing: reconfigurable, stable, flexible (develop hardware once, implement algorithms), accurate

Application to radiofrequency signals: record raw analog RF signals and process datastream.

Practically: ADC limited to 1 GS/s so still a need for RF front-end (LNA + mixer) Wireless passive sensor probing

• FMCW strategy: simple hardware, complex software (VCO sweep, FFT)

• a VCO frequency is swept over bandwidth dF duringdT

• echoes delayed bydtgenerate a beat signal with VCO ofdf=dt·(dF/dT)

• ifdf= 50 MHz and dt= 10 ms, thendt≤5 µs (CTR delay line)⇒df ≤25 kHz

• sound card/DVB-R record processed using GNURadio forreal time display

• software defined frequency sweep compensates for VCO non-linear frequency output with input voltage

G.L.Charvat,A.J.Fenn,B.T.Perry,The MITIAPradarcourse:Buildasmallradar systemcapableofsensingrange,Doppler, andsyntheticaperture(SAR)imaging, IEEERadarConference,(2012)pp.138–144 Website:http://ocw.mit.edu/resources/ underLincolnLabentry

• digital signal processing blocks available for most common operations (display, FFT, filter)

• opensource environment: learn from the source code and add processing blocks (C or Python)

Time & frequency metrology analysis

• Software frequency counter & phase noise analysis in a receiver only configuration

• Full duplex operation allows for network analyzer operation

• Stable frequency source suitable for teaching/training (tuning fork characterization)

0 0.05 0.1 0.15 0.2 0.25

32745 32750 32755 32760 32765 32770 32775-1.5 -1 -0.5 0 0.5 1 1.5 2

magnitude (a.u.) phase (a.u.)

frequency (Hz) resistor (20 kΩ)

tuning fork input audio

audio output

heating

for (k=0;k<N;k++) {out[k]=in[k]*out[k];}

d_nco.sincos (out, noutput_items, 1.);

// gnuradio−core/src/lib/general/gr\_nco.h d_nco.set_freq(2*M_PI*_freq/_samp_rate);

// init NCO

Question: computation resolution to reach a given noise floor ? Phase noise calculation:

1. sample sine wave from oscillator and generate local oscillator using a Numerically Controlled Oscillator (NCO),

2. mixer = multiplication, possibly sign change if NCO is a square wave,

3. low pass filter and decimator to reach twice the carrier offset maximum Fourier fre- quency

{I, Q}= N1 P

N(

mixer

z }| {

lok·sk)×lpfN−k ⇒d(I, Q)' 3×2−M

N if all terms are coded onM bits,

&Sϕ= σ

2 ϕ

BW ⇒σϕ=p

Sϕ·BW ⇒M =−log2p

(N·Sϕ×BW)/3. SinceSϕ= 10SdB/10, BW = 9 kHz (1000 points in the 1-10 MHz decade), then -180 dBrad2/Hz⇒M '21 bits and -160 dBrad2/Hz ⇒M '19 bits

⇒challenging resolution to meet metrological requirements

⇒effect of square wave NCO (harmonics ? butdlo= 0), aliased sampling ?

Conclusion:

1. Flexibleenvironment for implementing varioussignal processingtools for sensor characterization to TF metrology or digital protocol decoding 2. Real time display of computation result (as opposed to post-processing using Matlab-GNU/Octave)

3. Wide range ofinput sources and output sinks from kHz to GHz

4. Opensourcebest suited for adding processing block and learning from source code + hardware schematics for most peripherals 5. Still limited by ADC resolution and sampling rate for UHF oscillator characterization

Acknowledgements: GoDigital workgoup in FEMTO-ST, under supervision of E. Rubiola & P.Y. Bourgeois, with the ULISS team S. Grop & B. Dubois (www.uliss-st.com)

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