DocumentCode :
1209222
Title :
Adaptive cochannel interference suppression based on subarrays for HFSWR
Author :
Wan Xianrong ; Ke Hengyu ; Wen Biyang
Author_Institution :
Sch. of Electron. Inf., Wuhan Univ., Hubei, China
Volume :
12
Issue :
2
fYear :
2005
Firstpage :
162
Lastpage :
165
Abstract :
The paper analyzes the characteristics of cochannel interference (CCI) in the high-frequency (HF) surface wave radar (HFSWR), which adopts the linear frequency modulated interrupted continuous wave (FMICW). CCI will influence all the range bins, including all the positive and negative frequencies, and the negative frequency range bins contain only the external interference information. Based on the above characteristics, we introduce a new adaptive coherent side-lobe cancellation (CSLC) algorithm based on subarrays that use the negative frequency range bin samples to estimate the interference covariance matrix and correlation vector. Experimental results confirm that the general and robust algorithm can achieve effective CCI suppression using the data recorded by the Ocean State Monitor and Analysis Radar (OSMAR2003, manufactured in 2003), located near Zhoushan in Zhejiang, China.
Keywords :
adaptive radar; adaptive signal processing; array signal processing; cochannel interference; covariance matrices; interference suppression; radar signal processing; CCI; CSLC; China; FMICW; HFSWR; OSMAR2003; Zhejiang; adaptive arrays; adaptive cochannel interference; adaptive coherent side-lobe cancellation algorithm; adaptive signal processing; correlation vector; covariance matrix; high-frequency surface wave radar; interference suppression; linear frequency modulated interrupted continuous wave; object detection; ocean state monitor-and-analysis radar; Chirp modulation; Frequency estimation; Frequency modulation; Hafnium; Interchannel interference; Interference cancellation; Radar; Radiofrequency interference; Sea surface; Surface waves; Adaptive arrays; HF radar; adaptive signal processing; object detection;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2004.840873
Filename :
1381476
Link To Document :
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