Examples (radar)¶

Hereafter you will find :

• experimental data set that were obtained with SDR-radar systems;
• processing output examples.

Experimental radar data set from SDR-KIT 2400AD2 Ancortek¶

Useful information about the SDR-KIT 2400AD2 Ancortek can be found at http://ancortek.com/

IQ data are recorded in MAT-file and can be read with the Matlab code readdata_radar2400AD2.m
IQ imbalance processing is likely to be needed.

Data file	Waveform	Carrier frequency (GHz)	Bandwidth (GHz)	PRF (ms)	Samples per sweep (-)	Scenario description
2017-02-09-10-34-32.mat	LFMCW	25	2	1	128	RC car receding in corridor (non moving environment)
2017-07-27-16-57-05.mat	LFMCW	24.75	1.5	4	128	No target, corridor with plants on ground in range-gate ca. 20-30 with hidden fan creating a windy environment
2017-07-27-17-01-31.mat	LFMCW	24.75	1.5	4	128	No target, corridor with plants on ground in range-gate ca. 20-30 with hidden fan off
2017-07-27-17-07-46.mat	LFMCW	24.75	1.5	4	128	RC car receding-closing in corridor with plants on ground in range-gate ca. 20-30 with hidden fan creating a windy environment VID_20170727_170631_forge.mp4
2017-07-27-13-57-54.mat	LFMCW	25	2	4	256	No target, corridor with plants on ground in range-gate ca. 54-82 with hidden fan creating a windy environment
2017-07-27-14-05-00.mat	LFMCW	25	2	4	256	No target, corridor with plants on ground in range-gate ca. 54-82 with hidden fan off
2017-07-27-13-42-41.mat	LFMCW	24.75	1.5	4	128	RC car receding-closing in corridor with plants on ground in range-gate ca. 54-82 with hidden fan creating a windy environment VID_20170727_134114_forge.mp4

Examples of processing outputs¶

Deramping processing¶

(section in construction)

Doppler processing¶

(section in construction)

Widedand processing¶

• Processing outputs of Bayesian sparse representation techniques [BidTAES2019].
  In these figures, diffuse clutter is present at the selected range gates. The RC car is receding with a velocity approximately equal to $-v_a$.
  The target is well estimated in the blind velocity with the sparse technique AROFF that jointly estimate the diffuse clutter and the target with its off-grid. In addition, only a few and low false estimations arise with AROFF unlike the 3 other sparse techniques.

Outputs

Scenario

dataset: 2017-07-27-13-42-41.mat transparent background: coherent summation for wideband radar diamond: output of sparse representation * WON sparse technique assumes white noise and on-grid targets. * WOFF sparse technique assumes white noise and off-grid targets. * ARON sparse technique assumes autoregressive-colored noise and on-grid targets. * AROFF sparse technique assumes autoregressive-colored noise and off-grid targets. * The MMSE (Minimum Mean Square Error) estimator of target scene is depicted. $v_a$ is the ambiguous velocity

References¶

• [BidTAES2019] Stéphanie Bidon, Marie Lasserre, and François Le Chevalier. Unambiguous sparse recovery of migrating targets with a robustified Bayesian model. IEEE Transactions on Aerospace and Electronic Systems, 55(1) :108–123, Feb 2019. http://oatao.univ-toulouse.fr/22968/