Parameter Estimation of Linear Frequency-Modulated Signals Using Integrated Cubic Phase Function

被引：7

作者：

Wang, Pu ^{[1
]}

Li, Hongbin ^{[1
]}

Himed, Braham ^{[2
]}

机构：

[1] Stevens Inst Technol, Dept Elect & Comp Engn, Hoboken, NJ 07030 USA

[2] AFRL RYRT, Wright Patterson AFB, OH 45433 USA

来源：

2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4 | 2008年

关键词：

Frequency-modulated signal; parameter estimation; statistical signal processing;

D O I：

10.1109/ACSSC.2008.5074453

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, an integrated cubic phase function (ICPF) for parameter estimation of linear frequency-modulated (LFM) signals is introduced. The ICPF extends the standard cubic phase function (CPF) and provides improved estimation performances in cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals, at the cost moderately increased complexity. The asymptotic bias and mean squared error (MSE) of an ICPF-based estimator are derived in closed-form and verified by computer simulation. A comparison with several existing approaches shows that the ICPF serves as a good candidate for LFM signal analysis

引用

页码：487 / +

页数：2

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