Performance Analysis of Reference Channel Equalization Using the Constant Modulus Algorithm in an FM-based PCL system
Pages 153 - 156
Abstract
A frequency-modulation (FM)-based passive coherent location (PCL) system is a passive radar system for detecting a target using commercial FM broadcasting signals. A cross-correlation function between the direct-path signal propagating line-of-sight of the FM transmitter and the receiver, and the target echo signal, can be derived to detect the target. When clutter is received on the reference channel, the target detection probability can be reduced. In order to improve the detection performance, the direct-path signal on the reference channel should be essentially recovered. In this paper, we apply the constant modulus algorithm (CMA) to remove the clutter received on the reference channel and analyze the amount of removed clutter by simulation. Furthermore, we show that the reference channel equalization plays a very important role in removing ghost targets in the cross-correlation function.
References
[1]
A. Zaimbashi, "Broadband target detection algorithm in FM-based passive bistatic radar," IET Radar, Sonar & Navigation, vol. 10, no. 8, pp. 1485--1499, 2016.
[2]
B. Tuysuz, J. Urbina, and J. Mathews, "Effects of the Equatorial Electrojet on FM-based Passive Radar Systems," IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 7, pp. 4082--4088, 2017.
[3]
Y. Fu, X. Wan, X. Zhang, G. Fang, and J. Yi, "Side Peak Interference Mitigation in FM-based Passive Radar Via Detection Identification," IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 53, pp. 778--788, 2017.
[4]
A. Zaimbashi, "Multiband FM-based passive bistatic radar: target range resolution improvement," IET Radar, Sonar & Navigation, vol. 10, no. 1, pp. 174--185, 2016.
[5]
F. Colone, and P. Lombardo, "Non-coherent adaptive detection in passive radar exploiting polarimetric and frequency diversity," IET Radar, Sonar & Navigation, vol. 10, no. 1, pp. 15--23, 2016.
[6]
F. Colone, D. W. O'Hagan, P. Lombardo, and C. J. Baker, "A Multistage Processing Algorithm for Disturbance Removal and Target Detection in Passive Radar," IEEE Transactions on Aerospace and Electronic Systems, vol. 45, no. 2, pp. 698--722, 2009.
[7]
K. S. Kulpa, and Z. Czekala, "Masking effect and its removal in PCL radar," IEE Proceeding-Radar, Sonar and Navigation, vol. 152, no. 3, pp. 174--178, Jun. 2005.
[8]
R. Cardinali, F. Colone, C. Ferretti, and P. Lombardo, "Comparison of Clutter and Multipath Cancellation Techniques for Passive Radar," IEEE Radar Conference, Boston, MA, USA, pp. 469--474, 2007.
[9]
F. Colone, R. Cardinali, P. Lombardo, O. Crognale, A. Cosmi, A. Lauri, and T. Bucciarelli, "Space-time constant modulus algorithm for multipath removal on the reference signal exploited by passive," IET Radar, Sonar & Navigation, vol. 3, no. 3, pp. 253--264, 2009.
[10]
P. Krysik, Z. Gajo, J. S. Kulpa, and M. Malanowski, "Reference channel equalization in FM passive radar using the constant magnitude algorithm," International Radar Symposium, Gdansk, Poland, June. 2014.
Index Terms
- Performance Analysis of Reference Channel Equalization Using the Constant Modulus Algorithm in an FM-based PCL system
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Published In
February 2018
260 pages
ISBN:9781450364102
DOI:10.1145/3192975
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- Macquarie University-Sydney
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Association for Computing Machinery
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Published: 24 February 2018
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ICCAE 2018
ICCAE 2018: 2018 10th International Conference on Computer and Automation Engineering
February 24 - 26, 2018
Brisbane, Australia
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