Rao Test With Improved Robustness for Range-Spread Target Detection

This paper deals with the problem of detecting range-spread targets in Gaussian noise with unknown covariance matrix. We model the received signal under the signal-plus-noise hypothesis as the sum of noise, useful target echoes and fictitious signals, which makes the signal-plus-noise hypothesis more plausible in the mismatched case. An adaptive detector is designed according to the Rao test. We prove the proposed Rao test exhibits constant false alarm rate property against the covariance matrix. Numerical examples show that the proposed Rao outperforms its counterparts in the mismatched case.

[1]  Charles M. Rader,et al.  Adaptive beamformer orthogonal rejection test , 2001, IEEE Trans. Signal Process..

[2]  Giuseppe Ricci,et al.  A novel approach to robust radar detection of range-spread targets , 2020, Signal Process..

[3]  Freeman C. Lin,et al.  Detection of a spatially distributed target in white noise , 1997, IEEE Signal Processing Letters.

[4]  Xiaochuan Ma,et al.  Adaptive detection of distributed targets in partially homogeneous environment with Rao and Wald tests , 2012, Signal Process..

[5]  Yongliang Wang,et al.  Fisher information matrix, Rao test, and Wald test for complex-valued signals and their applications , 2014, Signal Process..

[6]  Daniel R. Fuhrmann,et al.  A CFAR adaptive matched filter detector , 1992 .

[7]  Danilo Orlando,et al.  Adaptive Detection of Point-Like Targets in Spectrally Symmetric Interference , 2016, IEEE Transactions on Signal Processing.

[8]  Antonio De Maio,et al.  Rao Test for Adaptive Detection in Gaussian Interference With Unknown Covariance Matrix , 2007, IEEE Transactions on Signal Processing.

[9]  Danilo Orlando,et al.  Adaptive Radar Detection of a Subspace Signal Embedded in Subspace Structured Plus Gaussian Interference Via Invariance , 2016, IEEE Transactions on Signal Processing.

[10]  Gerard A. Van Der Spek,et al.  Detection of a Distributed Target , 1971, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Peng Zhang,et al.  Persymmetric detectors of distributed targets in partially homogeneous disturbance , 2016, Signal Process..

[12]  Danilo Orlando,et al.  Adaptive Radar Detection and Localization of a Point-Like Target , 2011, IEEE Transactions on Signal Processing.

[13]  Danilo Orlando,et al.  A Unifying Framework for Adaptive Radar Detection in Homogeneous Plus Structured Interference— Part II: Detectors Design , 2015, IEEE Transactions on Signal Processing.

[14]  Giuseppe Ricci,et al.  Adaptive Radar Detectors for Point-Like Gaussian Targets in Gaussian Noise , 2017, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Tianyao Huang,et al.  Detection of subspace distributed target in partial observation scenario with Rao test , 2020, Signal Process..

[16]  Yu Li,et al.  Robust adaptive beamforming based on interference covariance matrix sparse reconstruction , 2014, Signal Process..

[17]  Hongbin Li,et al.  Knowledge-Aided Range-Spread Target Detection for Distributed MIMO Radar in Nonhomogeneous Environments , 2017, IEEE Transactions on Signal Processing.

[18]  Tianyao Huang,et al.  Distributed Target Detection With Partial Observation , 2018, IEEE Transactions on Signal Processing.

[19]  Jie Zhou,et al.  Invariant Adaptive Detection of Range-Spread Targets Under Structured Noise Covariance , 2017, IEEE Transactions on Signal Processing.

[20]  Giuseppe Ricci,et al.  Adaptive Radar Detection of Distributed Targets in Homogeneous and Partially Homogeneous Noise Plus Subspace Interference , 2007, IEEE Transactions on Signal Processing.

[21]  Hongbin Li,et al.  Adaptive Subspace Tests for Multichannel Signal Detection in Auto-Regressive Disturbance , 2018, IEEE Transactions on Signal Processing.

[22]  A. Farina,et al.  Improvement factor for real sea-clutter Doppler frequency spectra , 1996 .

[23]  Xiaochuan Ma,et al.  Adaptive detection of distributed targets with orthogonal rejection , 2012 .

[24]  Antonio De Maio,et al.  A new derivation of the adaptive matched filter , 2004, IEEE Signal Process. Lett..

[25]  Hongbin Li,et al.  Knowledge-Aided Parametric Tests for Multichannel Adaptive Signal Detection , 2011, IEEE Transactions on Signal Processing.

[26]  Jianyu Yang,et al.  Adaptive detection for distributed targets in Gaussian noise with Rao and Wald tests , 2011, Science China Information Sciences.

[27]  Giuseppe Ricci,et al.  GLRT-based adaptive detection algorithms for range-spread targets , 2001, IEEE Trans. Signal Process..

[28]  Jun Liu,et al.  Multichannel signal detection in interference and noise when signal mismatch happens , 2020, Signal Process..

[29]  Giuseppe Ricci,et al.  Design of Robust Radar Detectors Through Random Perturbation of the Target Signature , 2019, IEEE Transactions on Signal Processing.

[30]  Yongliang Wang,et al.  Adaptive Double Subspace Signal Detection in Gaussian Background—Part I: Homogeneous Environments , 2014, IEEE Transactions on Signal Processing.

[31]  Danilo Orlando,et al.  Advanced Radar Detection Schemes Under Mismatched Signal Models , 2009, Advanced Radar Detection Schemes Under Mismatched Signal Models.

[32]  Vincenzo Carotenuto,et al.  On Multiple Covariance Equality Testing with Application to SAR Change Detection , 2017, IEEE Transactions on Signal Processing.

[33]  E. J. Kelly.  An Adaptive Detection Algorithm , 1986, IEEE Transactions on Aerospace and Electronic Systems.