Time Delay Estimation of Chirp Signals Based on Double-Channel DFRFT Cross-Spectrum

LI Xin

doi:10.3969/j.issn.0372-2112.2014.06.005

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Time Delay Estimation of Chirp Signals Based on Double-Channel DFRFT Cross-Spectrum

更新时间：2025-07-16

- Time Delay Estimation of Chirp Signals Based on Double-Channel DFRFT Cross-Spectrum
- Acta Electronica Sinica Vol. 42, Issue 6, Pages: 1068-1073(2014)
- 作者机构：
  
  1. 北京理工大学信息与电子学院,北京,100081
  2. 安徽理工大学电气与信息工程学院,安徽,淮南,232001
  3. 北京理工大学信息与电子学院,北京,100081
  4. 安徽理工大学电气与信息工程学院,安徽,淮南,232001
- 作者简介：
- 基金信息：
  
  Outstanding Young Talent Fund Project of Anhui Province (No.2012SQRL052);Provincial Science Research Program of Higher Education Institutions of Anhui Province (No.KJ2013Z064)
- DOI：10.3969/j.issn.0372-2112.2014.06.005
  CLC： TN957.51
- Published：2014
- 稿件说明：
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LI Xin. Time Delay Estimation of Chirp Signals Based on Double-Channel DFRFT Cross-Spectrum[J]. Acta Electronica Sinica, 2014, 42(6): 1068-1073.
DOI：

LI Xin. Time Delay Estimation of Chirp Signals Based on Double-Channel DFRFT Cross-Spectrum[J]. Acta Electronica Sinica, 2014, 42(6): 1068-1073. DOI： 10.3969/j.issn.0372-2112.2014.06.005.

摘要

针对脉冲Chirp类信号的时延估计问题，理论推导了基于离散分数阶Fourier变换的脉冲Chirp信号的特性，分析了当时延参量等效的分数阶Fourier域的频率大于采样率时，脉冲Chirp信号的分数阶Fourier域谱产生混叠，造成时延估计模糊的问题，并提出基于离散分数阶Fourier变换（DFRFT）双通道互谱法进行时延估计，给出两个通道采样率选取的原则及算法的性能分析，实验结果表明，在一定的采样率下，算法能够快速精确地估计脉冲Chirp信号的时延参数.

Abstract

For the problem of time-delay estimation for Chirp pulse signals

the characteristics of Chirp pulse signals based on the discrete fractional Fourier transform was theoretically derived.When time-delay equivalent frequency parameter was greater than the sampling rate in fractional Fourier domain

the spectrum of Chirp pulse signals in fractional Fourier domain produced aliasing

which caused the delay estimation ambiguity problem.In order to solve this problem

the time-delay estimation of Chirp signal based on double-channel DFRFT cross-spectral method was proposed

then the principles of the two-channel sampling rate selection and the performance analysis was given.The experimental results show that

in a certain sampling rate

the proposed algorithm is able to quickly and accurately estimate the time-delay parameters of Chirp pulse signals.

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