An enhanced approach based on energy loss for multichannel SAR-GMTI systems in heterogeneous environment

Mao, Tian; Yang, Zhiwei; Xu, Haisong; Liao, Guisheng

doi:10.1016/j.dsp.2018.03.009

Cited by 3 publications

(4 citation statements)

References 40 publications

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“…The same azimuth matching function is utilized to compress the azimuth of each channel. After image registration, the image of the m th channel can be represented by the image of the reference channel as [18,28]…”

Section: Signal Modelmentioning

confidence: 99%

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Strong Clutter Suppression Using Spatial and Signal Similarity for Multi-Channel SAR Ground-Moving-Target Indication

Dong,

Li,

Shi

et al. 2023

Remote Sensing

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This paper presents a new two-stage approach for suppressing strong clutter and detecting moving targets using scatterers’ spatial structure and signal similarity. Compared with the traditional strong clutter suppression methods, the proposed method considers both the spatial similarity and the channel correlation of the scatterers, effectively alleviating the false alarm probability and avoiding the missed detection problem caused via identifying strong moving targets as strong stationary clutter. Additionally, a detector is presented based on the linear degree of the radial velocity interferometric phase (LDRVP) to eliminate false alarms from isolated strong scatter points and the edges of strong scatterers. The experimental results of the X-band radar indicate the presented approach’s lower false alarm probability and superior robustness.

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Section: Signal Modelmentioning

confidence: 99%

“…In the absence of prior information, the above approaches cannot remove the false alarm targets caused by the residual energy of strong clutter [18,19].…”

Section: Introductionmentioning

confidence: 99%

Strong Clutter Suppression Using Spatial and Signal Similarity for Multi-Channel SAR Ground-Moving-Target Indication

Dong,

Li,

Shi

et al. 2023

Remote Sensing

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“…In heterogeneous environment, the probability density function of the amplitude detectable quantity is given by [18]…”

Section: Max(mentioning

confidence: 99%

Two-Step Thresholds TBD Algorithm for Time Sensitive Target Based on Dynamic Programming

Tian

et al. 2020

IEEE Access

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Surveillance radar is confronted with serious two-dimensional ambiguity (i.e., range dimension and velocity dimension) and low signal-to-noise ratio (SNR) problems in the time sensitive (TS) target detection process, which may result in the deterioration of target detection performance. Combining the advantages of the intra-frame detection and the inter-frame detection, a novel two-step thresholds track before detect (TBD) algorithm based on the integration techniques, i.e., two-dimensional ambiguity resolution and multi-frame joint detection, is proposed in this paper. Firstly, the fusion design strategy, including the pulse repetition frequency, the carrier frequency and the orthogonal waveform, is adopted in the transmitting pulse sequence. As a result, not only the range ambiguity number and the spatial filling time are reduced synchronously, but the decoupling of range-velocity ambiguity is realized, which is conductive to multitarget detection in low SNR environment. Then, the first level adaptive threshold is obtained by employing the judgment criterion based on cumulative value function (CVF), and thus the false trajectory number is effectively eliminated from the perspective of cumulative amplitude. Finally, through analyzing the inherent relation between the local trajectory characteristics and the global trajectory characteristics comprehensively, different types of false alarm trajectories are further reduced by means of the polynomial coefficient variance statistics. Experimental results verify the effectiveness of the proposed algorithm.

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“…However, when large radar cross section (RCS) or highly heterogeneous clutter exist, the residual energy of interference is still strong after using the above clutter suppression methods, which will lead to a significant number of false alarms and reduce the accuracy of parameter estimation [ 27 , 28 ]. The so-called strong clutter residues in this paper are mostly produced by common artificial scatterers.…”

Section: Introductionmentioning

confidence: 99%

A Novel Detection Scheme in Image Domain for Multichannel Circular SAR Ground-Moving-Target Indication

Dong

Wang

Xiang

et al. 2022

Sensors

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Circular synthetic aperture radar (CSAR), which can observe the region of interest for a long time and from multiple angles, offers the opportunity for moving-target detection (MTD). However, traditional MTD methods cannot effectively solve the problem of high probability of false alarm (PFA) caused by strong clutter. To mitigate this, a novel, three-step scheme combining clutter background extraction, multichannel clutter suppression, and the degree of linear consistency of radial velocity interferometric phase (DLRVP) test is proposed. In the first step, the spatial similarity of the scatterers and the correlation between sub-aperture images are fused to extract the strong clutter mask prior to clutter suppression. In the second step, using the data remaining after elimination of the background clutter in Step 1, an amplitude-based detector with higher processing gain is utilized to detect potential moving targets. In the third step, a novel test model based on DLRVP is proposed to further reduce the PFA caused by isolated strong scatterers. After the above processing, almost all false alarms are excluded. Measured data verified that the PFA of the proposed method is only 20% that of the comparison method, with improved detection of slow and weakly moving targets and with better robustness.

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An enhanced approach based on energy loss for multichannel SAR-GMTI systems in heterogeneous environment

Cited by 3 publications

References 40 publications

Strong Clutter Suppression Using Spatial and Signal Similarity for Multi-Channel SAR Ground-Moving-Target Indication

Strong Clutter Suppression Using Spatial and Signal Similarity for Multi-Channel SAR Ground-Moving-Target Indication

Two-Step Thresholds TBD Algorithm for Time Sensitive Target Based on Dynamic Programming

A Novel Detection Scheme in Image Domain for Multichannel Circular SAR Ground-Moving-Target Indication

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