An Improved Parameter Estimation Algorithm Based On FFT For LFM Signal

被引：1
|
作者：
Zhou, Rong [1 ]
Liu, Aijun [1 ]
Pan, Xiaofei [1 ]
Gong, Chao [1 ]
机构：
[1] PLA Univ Sci & Technol, Nanjing, Jiangsu, Peoples R China
来源：
COMPUTER AND INFORMATION TECHNOLOGY | 2014年 / 519-520卷
关键词：
parameter estimation; linear frequency modulation signal; FFT;
D O I：
10.4028/www.scientific.net/AMM.519-520.1000
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Parameter estimation is essential to receive a linear frequency modulation (LFM) signal precisely, so in this paper an improved parameter estimation algorithm based on FFT is proposed. Compared to the traditional one-dimension search procedure, the algorithm just needs two FFT steps plus one correlation step only. Without searching process and low computational complexity, the algorithm is easy for project application. The simulations verify feasibility of the algorithm, when SNR is above -3 dB, the algorithm can work well.
引用
收藏
页码：1000 / 1004
页数：5
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