期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2010
卷号：4
期号：3
出版社：SERSC
摘要：Superiority of poly-alphabetic sequences (PAS) for pulse compression radar over the binary and ternary sequences was established earlier. However, the enlarged alphabets in poly–alphabetic sequences deteriorate the noise and Doppler robustness at higher lengths in high resolution radar (HRR) systems. In this paper, poly-semantic sequences (PSS) with restricted alphabet {+1,-1} are considered and their performance is analyzed in order to achieve superior detection performance for high resolution radar system in presence of high density additive noise and Doppler shift. The poly-semantic sequences are optimized by employing modified Hamming scan algorithm called Hamming backtrack algorithm (HBT) by taking figure of merit as the measure of goodness. The detection capability of poly-semantic sequences is further improved through coincidence detection of the return signal. The simulation results show that the proposed sequences give improved robustness of noise and Doppler shift for HRR target detection compared to conventional pulse compression sequences.
关键词：Hamming backtrack algorithm; high resolution radar; poly-semantic;sequences; target detection.
