Integrated Cubic Phase Function for Linear FM Signal Analysis

被引:139
作者
Wang, Pu [1 ]
Li, Hongbin [1 ]
Djurovic, Igor [2 ]
Himed, Braham [3 ]
机构
[1] Stevens Inst Technol, Dept Elect & Comp Engn, Hoboken, NJ 07030 USA
[2] Univ Montenegro, Dept Elect Engn, Podgorica 81000, Montenegro
[3] AFRL RYRT, Dayton, OH 45433 USA
基金
中国国家自然科学基金;
关键词
ORDER AMBIGUITY FUNCTION; POLYNOMIAL-PHASE; PARAMETER-ESTIMATION; MULTICOMPONENT SIGNALS; CHIRP SIGNALS; TRANSFORM; AMPLITUDE;
D O I
10.1109/TAES.2010.5545167
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. The ICPF extends the standard cubic phase function (CPF) to handle cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals. The asymptotic mean squared error (MSE) of an ICPF-based estimator as well as the output SNR of an ICPF-based detector are derived in closed form and verified by computer simulation. Comparison with several existing approaches is also included, which shows that the ICPF serves as a good candidate for LFM signal analysis.
引用
收藏
页码:963 / 977
页数:15
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