RFD-Rao and RFD-Wald tests for distributed targets with range walking effect

Abstract

Two novel adaptive distributed target detectors, the range frequency domain-Rao (RFD-Rao) and range frequency domain-Wald (RFD-Wald) tests are proposed in this work. The application methods for these tests consider a partially homogeneous disturbance environment and a target range walking effect in a coherent processing interval (CPI). The asymptotic performance of the detectors is analyzed, and the constant false alarm rate (CFAR) properties with respect to the clutter covariance matrix and power level are shown. The performances of the proposed adaptive detectors are assessed through Monte-Carlo simulations, and the results are presented to demonstrate the effectiveness of the proposed detection algorithms compared to those of similar existing detectors.

Keywords

adaptive detection / distributed target / Rao test / Wald test / range walking

References

[1] GerlachK, SteinerM. Detection of a spatially distributed target in white noise [J]. IEEE Signal Processing Lett, 1997, 4(7): 198-200

[2] GerlachK. Spatially distributed target detection in non-Gaussian clutter [J]. IEEE Trans on Aerosp Electron Syst, 1999, 35(3): 926-934

[3] CiuonzoD, MaioA D, OrlandoD. A unifying framework for adaptive radar detection in homogeneous plus structured interference–part I: On the maximal invariant statistic [J]. IEEE Trans on Signal Processing, 2016, 64(11): 2894-2906

[4] MoyaJ C, MaioA D, MenoyoJ G, LopezA A. Experimental performance analysis of distributed target coherent radar detectors [J]. IEEE Trans on Aerosp Electron Syst, 2012, 48(3): 2216-2238

[5] SunX, LuB, JinT, ZhouZhi. Antenna planes based wall-clutter mitigation in through-wall-imaging applications [J]. Journal of Central South University, 2016, 23(10): 2638-2646

[6] ConteE, MaioA D, RicciG. GLRT-based adaptive detection algorithms for range-spread targets [J]. IEEE Trans on Signal Processing, 2001, 49(7): 1336-1348

[7] GerlachK, SteinerM. Adaptive detection of range distributed targets [J]. IEEE Trans on Signal Processing, 1999, 47(7): 1844-1851

[8] JinY, FriedlanderB. A CFAR adaptive subspace detector for second-order Gaussian signals [J]. IEEE Trans on Signal Processing, 2005, 53(3): 871-884

[9] BandieraF, MaioA D, GrecoA S, RicciG. Adaptive radar detection of distributed targets in homogeneous and partially homogeneous noise plus subspace interference [J]. IEEE Trans on Signal Processing, 2007, 55(4): 1223-1237

[10] LiuJ, ZhangZ, CaoY, WangMin. Distributed target detection in subspace interference plus Gaussian noise [J]. Signal Processing, 2014, 95: 88-100

[11] KafshgariS, MohseniR. Fluctuating target detection in presence of non Gaussian clutter in OFDM radars [J]. Int J Electron Commun, 2013, 67: 885-893

[12] MelvinW L. Space-time adaptive radar performance in heterogeneous clutter [J]. IEEE Trans on Aerosp Electron Syst, 2000, 36(2): 621-633

[13] WuR, SuZ, WangLu. Space-time adaptive monopulse processing for airborne radar in non-homogeneous environments [J]. Int J Electron Commun, 2011, 65: 258-264

[14] MaioA D, IommelliS. Coincidence of the Rao test, Wald test, and GLRT in partially homogeneous environment [J]. IEEE Signal Processing Lett, 2008, 15: 385-388

[15] ConteE, MaioA D. Distributed target detection incompound-Gaussian noise with Rao and Wald tests [J]. IEEE Trans on Aerosp Electron Syst, 2003, 39(2): 568-581

[16] LiuW, XieW, WangYong. Rao and Wald tests for distributed targets detection with unknown signal steering [J]. IEEE Signal Processing Lett, 2013, 20(11): 1086-1089

[17] WangP, LiH H B. Generalized parametric Rao test for multi-channel adaptive detection of range spread targets [J]. IET Signal Processing, 2012, 6(5): 404-412

[18] ShiB, HaoC, HouC, MaX, PengCheng. Parametric Rao test for multichannel adaptive detection of range-spread target in partially homogeneous environments [J]. Signal Processing, 2015, 108: 421-429

[19] BandieraF, BessonO, RicciG. Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: a Bayesian approach [J]. IEEE Trans on Signal Processing, 2011, 59(12): 5698-5708

[20] ZhouY, ZhangL-Rang. Knowledge-aided Bayesian radar adaptive detection in heterogeneous environment: GLRT, Rao and Wald tests [J]. Int J Electron Commun, 2012, 66: 239-243

[21] XuS, ShuiPeng. Range-spread target detection using 2D non-local nonlinear shrinkage map [J]. Signal Processing, 2014, 98: 337-343

[22] AubryA, MaioA D, PallottaL, FarinaA. Radar detection of distributed targets in homogeneous interference whose inverse covariance structure is defined via unitary invariant functions [J]. IEEE on Trans Signal Processing, 2013, 61(20): 4949-4961

[23] DaiF, LiuH, ShuiP, WuShun. Adaptive detection of wideband radar range spread targets with range walking in clutter [J]. IEEE Trans on Aerosp Electron Syst, 2012, 48(3): 2052-2064

[24] WangY, CaoY, SuH, WangSheng. Adaptive Rao detector for distributed targets in the frequency domain [C]. IET International Radar Conference, 2015, 2015: 1-4

[25] HaoC, MaX, ShangX, CaiLong. Adaptive detection of distributed targets in partially homogeneous environment with Rao and Wald tests [J]. Signal Processing, 2012, 92(2012): 926-930

[26] KayS MFundamentals of statistical signal processing detection theory [M], 1998, Englewood Cliffs, NJ, Prentice-Hall