基于像素向量消除的穿墙雷达杂波抑制算法

doi:10.12305/j.issn.1001-506X.2022.03.15

Abstract

Abstract:

When the common echo domain algorithms are used to suppress clutter in through-the-wall imaging, the clutter filtering is not thorough enough, resulting in the low signal to clutter ratio and target accuracy, which seriously affects the subsequent processing of target detection and recognition. To solve this problem, the distinguishing features of clutter pixels and target pixels are found in the image domain, and their discrete degree is quantified by coefficient of variation. The evaluation system of clutter suppression is constructed by image intensity and residual pixel mean. The clutter and the background pixel vectors with larger coefficient of variation are eliminated successively by main clutter suppression and target focusing, so as to obtain the final imaging result. Simulation results show that the proposed algorithm has good effectiveness and robustness, can significantly enhance the signal to clutter ratio, and make target imaging clear and accurate.

Key words: through-the-wall imaging radar, clutter suppression, image domain, coefficient of variation, pixel vector elimination

CLC Number:

TN95

Mingze WANG, Wei LI, Junwei MA, Xiangping LI. Clutter suppression algorithm based on pixel vector elimination in through-the-wall radar[J]. Systems Engineering and Electronics, 2022, 44(3): 827-833.

Figures/Tables 17

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References 30

1	AMIN M G . Through-the-wall radar imaging[M]. Boca Raton: Chemical Rubber Company Press, 2011.
2	YANG D G , ZHU Z L , ZHANG J C , et al. The overview of human localization and vital sign signal measurement using handheld IR-UWB through-wall radar[J]. Sensors, 2021, 21 (2): 402. doi: 10.3390/s21020402
3	CLCCHETTI R , CLCCHETTI V , FARAONE A , et al. A compact high-gain wideband lens vivaldi antenna for wireless communications and through-the-wall imaging[J]. IEEE Trans.on Antennas and Propagation, 2020, 69 (6): 3177- 3192.
4	RANDAZZO A , PONTI C , FEDELI A , et al. A through-the-wall imaging approach based on a TSVD/variable-exponent lebesgue-space method[J]. Remote Sensing, 2021, 13 (11): 2028. doi: 10.3390/rs13112028
5	KLIBANOV M V , SMIRNOV A V , KHOA V A , et al. Through-the-wall nonlinear SAR imaging[J]. IEEE Trans.on Geoscience and Remote Sensing, 2021,
6	SEMIH D , MEHMET N , MEHMET C , et al. Truncated singular value decomposition for through-the-wall microwave imaging application[J]. IET Microwaves, Antennas & Propagation, 2020, 14 (4): 260- 267.
7	TANG V H , BOUZERDOUM A , PHUNG S L . Compressive radar imaging of stationary indoor targets with low-rank plus jointly sparse and total variation regularizations[J]. IEEE Trans.on Image Processing, 2020, 29 (4598): 4613.
8	MUJA M , LOWE D G . Scalable nearest neighbor algorithms for high dimensional data[J]. IEEE Trans.on Pattern Analysis and Machine Intelligence, 2014, 36 (11): 2227- 2240. doi: 10.1109/TPAMI.2014.2321376
9	TIVIVE F H C , BOUZERDOUM A , AMIN M G . A subspace projection approach for wall clutter mitigation in through-the-wall radar imaging[J]. IEEE Trans.on Geoscience and Remote Sensing, 2014, 53 (4): 2108- 2122.
10	SOLIMENE R , CUCCARO A . Front wall clutter rejection methods in TWI[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 11 (6): 1158- 1162.
11	YOON Y S , AMIN M G . Spatial filtering for wall-clutter mitigation in through-the-wall radar imaging[J]. IEEE Trans.on Geoscience and Remote Sensing, 2009, 47 (9): 3192- 3208. doi: 10.1109/TGRS.2009.2019728
12	ZHANG Y, VENKATACHALAM A S, HUSTON D, et al. Advanced signal processing method for ground penetrating radar feature detection and enhancement[C]//Proc. of the Nondestructive Characterization for Composite Materials, Aerospace Engineering, 2014, 9063: 906318.
13	POTIN D , DUFLOS E , VANHEEGHE P . Landmines ground-penetrating radar signal enhancement by digital filtering[J]. IEEE Trans.on Geoscience and Remote Sensing, 2006, 44 (9): 2393- 2406. doi: 10.1109/TGRS.2006.875356
14	CHEN X, CHEN W D. Clutter reduction based on coefficient of variation in through-wall radar imaging[C]//Proc. of the IEEE Radar Conference, 2013.
15	ULANDER L M H , HELLSTEN H , STENSTROM G . Synthetic-aperture radar processing using fast factorized back-projection[J]. IEEE Trans.on Aerospace and Electronic Systems, 2003, 39 (3): 760- 776. doi: 10.1109/TAES.2003.1238734
16	LI J X , CHEN X P , XU H , et al. Artifacts suppression using correlation-weighted back projection imaging algorithm for chaotic GPR[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19, 3507305.
17	SOUNDY A W R , PANCKHURST B J , BROWN P , et al. Comparison of enhanced noise model performance based on analysis of civilian GPS data[J]. Sensors, 2020, 20 (21): 6050. doi: 10.3390/s20216050
18	MAHAFZA B R , ELSHERBENI A . Matlab simulations for radar systems design[M]. Boca Raton: Chemical Rubber Company Press, 2004.
19	KUNDU D , RAQAB M Z . Generalized Rayleigh distribution: different methods of estimations[J]. Computational Statistics & Data Analysis, 2005, 49 (1): 187- 200.
20	ALJOHANI M , MREBIT A , LO MONTE L , et al. Radar imaging using pseudo-coherent marine radar technology[J]. IET Radar, Sonar & Navigation, 2020, 14 (6): 905- 916.
21	POLI L , OLIVERI G , MASSA A . Imaging sparse metallic cylinders through a local shape function Bayesian compressive sensing approach[J]. Journal of the Optical Society of America A, 2013, 30 (6): 1261- 1272. doi: 10.1364/JOSAA.30.001261
22	LU Z J , QIN Q , SHI H Y , et al. SAR moving target imaging based on convolutional neural network[J]. Digital Signal Processing, 2020, 106, 102832. doi: 10.1016/j.dsp.2020.102832
23	SU P F , TARKOMA S , PELLIKKA P K E . Band ranking via extended coefficient of variation for hyperspectral band selection[J]. Remote Sensing, 2020, 12 (20): 3319. doi: 10.3390/rs12203319
24	REED G F , LYNN F , MEADE B D . Use of coefficient of varia- tion in assessing variability of quantitative assays[J]. Clinical and Vaccine Immunology, 2002, 9 (6): 1235- 1239. doi: 10.1128/CDLI.9.6.1235-1239.2002
25	KUMLU D . GPR clutter suppression by online stochastic tensor decomposition[J]. Remote Sensing Letters, 2021, 12 (3): 237- 246.
26	GARCIA-FERNANDEZ M , ALVAREZ-LOPEZ Y , HERAS F L . Autonomous airborne 3D SAR imaging system for subsurface sensing: UWB-GPR on board a UAV for landmine and IED detection[J]. Remote Sensing, 2019, 11 (20): 2357. doi: 10.3390/rs11202357
27	KIM S , LEE J . Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track[J]. Pattern Recognition, 2012, 45 (1): 393- 406. doi: 10.1016/j.patcog.2011.06.009
28	NAM S K , CHOI J H . Comparative analysis of cartesian trajectory and multivane rajectory using ACR phantom in MRI: using image intensity uniformity test and low-contrast object detectability test[J]. Journal of Radiological Science and Technology, 2019, 42 (1): 39- 46. doi: 10.17946/JRST.2019.42.1.39
29	KAMOEN V , EL HADDAD M , DE BACKER T , et al. Outcome of degenerative nonprolapse mitral regurgitation using the ave-rage pixel intensity method[J]. Echocardiography, 2020, 37 (9): 1329- 1335. doi: 10.1111/echo.14695
30	DEVANEY A J , MARENGO E A , GRUBER F K . Time-reversal-based imaging and inverse scattering of multiply scattering point targets[J]. The Journal of the Acoustical Society of America, 2005, 118 (5): 3129- 3138. doi: 10.1121/1.2042987

成像情况	信杂比
原始成像	-0.954 3
背景对消	0.744 7
像素向量消除	69.149 4

成像情况	信杂比
原始成像	-0.986 2
背景对消	0.423 9
最佳成像	67.118 4

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Clutter suppression algorithm based on pixel vector elimination in through-the-wall radar

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