Moving target detection in airborne MIMO radar for fluctuating target RCS model. Ghotbi, S., Ahmadi, M., & Sebt, M. A. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 1701-1705, Sep., 2014.
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Paper abstract bibtex
Paper abstract bibtex This paper considers the problem of target detection for multiple-input multiple- output with colocated antennas on a moving airborne platform. The target's radar cross section fluctuations degrade the detection performance of the radar. In this paper, first, we introduce a spatiotemporal signal model for airborne colocated MIMO radar which handles arbitrary transmit and receive antennas placement. Then, we employ the likelihood ratio test to derive the decision rules for fluctuating and nonfluctuating targets. In the case offull knowledge of target and interference statistic characteristics, we propose two detectors for fluctuating and nonfluctuating targets. The proposed detector can be used to evaluate adaptive detectors such as Kelly detector where the interference covariance matrix is estimated using training data. Simulation results have been provided to evaluate the detection performance of the proposed detectors.
@InProceedings{6952620,
author = {S. Ghotbi and M. Ahmadi and M. A. Sebt},
booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
title = {Moving target detection in airborne MIMO radar for fluctuating target RCS model},
year = {2014},
pages = {1701-1705},
abstract = {This paper considers the problem of target detection for multiple-input multiple- output with colocated antennas on a moving airborne platform. The target's radar cross section fluctuations degrade the detection performance of the radar. In this paper, first, we introduce a spatiotemporal signal model for airborne colocated MIMO radar which handles arbitrary transmit and receive antennas placement. Then, we employ the likelihood ratio test to derive the decision rules for fluctuating and nonfluctuating targets. In the case offull knowledge of target and interference statistic characteristics, we propose two detectors for fluctuating and nonfluctuating targets. The proposed detector can be used to evaluate adaptive detectors such as Kelly detector where the interference covariance matrix is estimated using training data. Simulation results have been provided to evaluate the detection performance of the proposed detectors.},
keywords = {airborne radar;decision theory;MIMO radar;object detection;radar antennas;radar cross-sections;radar detection;radar interference;receiving antennas;statistical testing;transmitting antennas;moving target detection;moving airborne MIMO radar platform;target RCS model fluctuation;multiple-input multiple-output radar;colocated antennas;target radar cross section fluctuations;radar detection performance degradation;spatiotemporal signal model;airborne colocated MIMO radar;receive antenna placement;arbitrary transmit antenna placement;likelihood ratio test;decision rules;nonfluctuating target detector;fluctuating target detector;interference statistic characteristics;Kelly detector;adaptive detector evaluation;interference covariance matrix;training data;Detectors;MIMO radar;Interference;Radar cross-sections;Radar antennas;Covariance matrices;Airborne MIMO radar;fluctuating target;likelihood ratio test (LRT);signal detection},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569918231.pdf},
}Downloads: 0
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