Joint frequency-angle estimation using a pseudocovariance matrix

GU Jian-feng; WEI Ping

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Joint frequency-angle estimation using a pseudocovariance matrix

更新时间：2024-10-14

- Joint frequency-angle estimation using a pseudocovariance matrix
- Issue 8, Pages: 40-45(2007)
- 作者机构：
  
  1. 电子科技大学电子工程学院
  2. 电子科技大学电子工程学院,四川,成都,610054
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.23
- Published：2007
- 稿件说明：
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GU Jian-feng, WEI Ping. Joint frequency-angle estimation using a pseudocovariance matrix[J]. 2007, (8): 40-45.
DOI：

GU Jian-feng, WEI Ping. Joint frequency-angle estimation using a pseudocovariance matrix[J]. 2007, (8): 40-45. DOI：

摘要

提出了一种计算简单并且具有很好统计性能的色噪声环境下频率和角度联合估计算法。假设噪声的时间相关长度小于信号的时间相关长度来消除噪声的影响

而后利用足够的时间相关来构成伪协方差矩阵

并对其进行奇异值分解获得信号频率

最后利用一一对应的一维搜索方法获得角度估计值。最后数值仿真结果证实了所提方法不仅由于阵列的扩展效应而使得角度估计性能的优越

而且在很小计算负担的条件下频率估计也给出较好的性能。

Abstract

A computationally simple joint frequency and angle estimation method with good statistical performance was proposed.The proposed method eliminates the effect of additive noise under the assumption that the temporal-correlation length of the noise field is shorter than that of the signals

and constructs a pseudocovariance matrix by exhibiting a suffi-cient temporal correlation to obtain the frequency estimation by implementing the singular value decomposition（SVD） of it

then the angles were obtained one-by-one using 1-D searches.Finally

it is shown that the proposed method is superior in estimating the angles because of the aperture extension and offers good estimation performance of the frequencies at the low computational burden through numerical simulations.

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