2-D DOA estimation of LFM signal based on FRFT

Fang Ye, Yibing Li, Shen-yuan Yang
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引用次数: 5

Abstract

Linear frequency modulation (LFM or chirp) signals are widely used in information systems, how to detect and estimate LFM signals is an important problem. However, using traditional array signal process couldn't commendably estimate DOA of LFM signal, because which is a nonstationary signal. Aim at this problem, the paper combined array signal process and fractional Fourier transform (FRFT), proposed extracting signal from the mixture of sources and noise using time-frequency revolving characteristic of FRFT. Then obtained unambiguous initial frequency and frequency modulation slope estimates from the output of the reference element, while combining music arithmetic to estimate 2-D DOA. This paper puts forward a new technique for LFM signal process, which has practical applied importance
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基于FRFT的LFM信号二维DOA估计
线性调频(LFM或chirp)信号广泛应用于信息系统中,如何检测和估计线性调频信号是一个重要问题。然而,由于线性调频信号是非平稳信号,使用传统的阵列信号处理方法无法很好地估计信号的DOA。针对这一问题,本文将阵列信号处理与分数阶傅里叶变换(FRFT)相结合,提出利用FRFT的时频旋转特性从源噪混合信号中提取信号。然后从参考元件的输出中得到明确的初始频率和调频斜率估计,同时结合音乐算法估计二维DOA。本文提出了一种对线性调频信号进行处理的新技术,具有实际应用意义
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