Adaptive Radar Detection of Distributed Targets in Homogeneous and Partially Homogeneous Noise Plus Subspace Interference

“…It is an important and common scenario for target detection in non-homogeneous background. Lots of notable research works about this background have been studied [5][6][7][8][9][10][11][12][26][27][28][29]. This paper focuses on the discussion of target detection in partially homogeneous background.…”

Section: Problem Formulationmentioning

confidence: 99%

Adaptive polarimetric detection method for target in partially homogeneous background

et al. 2015

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“…The adaptive detection of distributed targets has already been handled in [5][6][7]10,16,17] with reference to targets embedded in Gaussian disturbance with unknown covariance matrix. For estimation purposes, a set of secondary data is available.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Detection of Distributed Targets in Gaussian Clutter Based on Multiple A-Priori Spectral Models

Zhou

Yang

et al. 2016

Circuits Syst Signal Process

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In this paper, we consider the problem of adaptive detection for distributed targets embedded in Gaussian disturbance without secondary data. We suppose that some a-priori spectral models for the interference in the cells under test and a lower bound on the power spectral density of the white disturbance term are available. First, we propose an approximate estimation algorithm for the unknown parameters under both hypotheses. Then, we propose a generalized likelihood ratio test that employs the approximate estimates. Finally, we evaluate the performance of the proposed detector under Gaussian disturbance and verify its advantage to some existing techniques.

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“…The traditional pointlike target detection schemes for low range resolution (LRR) radars may fail for HRR radars [11], therefore, it is necessary to develop range-spread target detection schemes. Many achievements have been made in range-spread target detection during the past decades [12][13][14][15][16][17][18][19][20] (and references therein). More precisely, range-spread target detection based on one transmitted pulse with Gaussian noise was investigated in [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…For using the knowledge of the spatial distribution of the desired target, a SSD-GLRT detection method was proposed in [14], and the simulation has indicated that SSD-GLRT detector is a robust detector when the scattering density parameter is known. In [15][16][17][18][19][20], based on the coherent target echoes, the adaptive constant false alarm rate (CFAR) detection of range-spread target modeled as rank-one signal in Gaussian noise has been studied. A range-spread target detection algorithm for frequency stepped radar was investigated in [21], where the HRRP was obtained by target extraction at the first step, and then the energy of the HRRP was accumulated by integrator to fulfill target detection.…”

Section: Introductionmentioning

confidence: 99%

A Novel Range-Spread Target Detection Approach for Frequency Stepped Chirp Radar

Liu¹,

Chang²

2012

PIER

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Abstract-This paper presents a novel range-spread target detection algorithm for frequency stepped chirp radar (FSCR) which transmits a chirp-pulse train with frequency stepped carriers. FSCR achieves high range resolution by synthetic wide-band technique, and its process includes intra-pulse matched filtering and pulse-to-pulse inverse discrete Fourier transform (IDFT) or wavelet transform. For FSCR, the high resolution range profile (HRRP) of a target is obtained by target extraction from overlapping HRRPs which is caused by oversampling. During the target extraction (sometimes called decorrelation), some strong scattering points of target echo are discarded, as the result, the signal-to-clutter ratio (SCR) might be reduced and the target detection capability is degraded. To solve this problem for FSCR, a novel detection algorithm without target extraction is addressed. The new algorithm based on the power spectrum of radar echo uses not only the amplitude information, but also the phase information of overlapping HRRPs of a target to improve the SCR, therefore, has significant performance. Moreover, the test statistic and the false alarm probability of the detector are derived, and the implementation procedure and the flow chart of the detection algorithm are designed. Finally, the detection performance is assessed by Monte-Carlo simulation, and the results indicate that the proposed algorithm has about 3dB detection improvement in SCR compared with the spatial scattering density generalized likelihood ratio test (SSD-GRLT) detector, and at the same condition, is superior to the integrator detector. In addition, the proposed algorithm is robust and easy to implement.

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Adaptive Radar Detection of Distributed Targets in Homogeneous and Partially Homogeneous Noise Plus Subspace Interference

Cited by 164 publications

References 8 publications

Adaptive polarimetric detection method for target in partially homogeneous background

Adaptive polarimetric detection method for target in partially homogeneous background

Adaptive Detection of Distributed Targets in Gaussian Clutter Based on Multiple A-Priori Spectral Models

A Novel Range-Spread Target Detection Approach for Frequency Stepped Chirp Radar

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