An Improved Spatial Difference Smoothing Method Based on Multistage Wiener Filtering
In order to solve the angle estimation problem of coherent sources in the colored background noise, an improved forward and backward spatial difference smoothing algorithm is proposed by combining the improved spatial smoothing algorithm with the spatial difference algorithm. By the algorithm we can...
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2019-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/8515606 |
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doaj-8e900af7b418402293c51b249302d3132020-11-25T00:12:41ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472019-01-01201910.1155/2019/85156068515606An Improved Spatial Difference Smoothing Method Based on Multistage Wiener FilteringJian Gong0Yiduo Guo1Qun Wan2School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, ChinaAir and Missile Defense College, Air Force Engineering University, Xi’an, Shaanxi, ChinaSchool of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, ChinaIn order to solve the angle estimation problem of coherent sources in the colored background noise, an improved forward and backward spatial difference smoothing algorithm is proposed by combining the improved spatial smoothing algorithm with the spatial difference algorithm. By the algorithm we can not only decoherent the coherent source but also suppress the influence of the color noise. In order to further reduce the computational complexity of the IFBSDS algorithm, an improved forward and backward spatial difference smoothing algorithm based on Wiener filtering is also proposed. Thus, the eigenvalue decomposition operation of subspace class algorithm can be avoided, and at the same time, the same performance with the IFBSDS algorithm can be obtained, which is more consistent with the real demand of MIMO radar signal real-time processing.http://dx.doi.org/10.1155/2019/8515606 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jian Gong Yiduo Guo Qun Wan |
spellingShingle |
Jian Gong Yiduo Guo Qun Wan An Improved Spatial Difference Smoothing Method Based on Multistage Wiener Filtering Mathematical Problems in Engineering |
author_facet |
Jian Gong Yiduo Guo Qun Wan |
author_sort |
Jian Gong |
title |
An Improved Spatial Difference Smoothing Method Based on Multistage Wiener Filtering |
title_short |
An Improved Spatial Difference Smoothing Method Based on Multistage Wiener Filtering |
title_full |
An Improved Spatial Difference Smoothing Method Based on Multistage Wiener Filtering |
title_fullStr |
An Improved Spatial Difference Smoothing Method Based on Multistage Wiener Filtering |
title_full_unstemmed |
An Improved Spatial Difference Smoothing Method Based on Multistage Wiener Filtering |
title_sort |
improved spatial difference smoothing method based on multistage wiener filtering |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2019-01-01 |
description |
In order to solve the angle estimation problem of coherent sources in the colored background noise, an improved forward and backward spatial difference smoothing algorithm is proposed by combining the improved spatial smoothing algorithm with the spatial difference algorithm. By the algorithm we can not only decoherent the coherent source but also suppress the influence of the color noise. In order to further reduce the computational complexity of the IFBSDS algorithm, an improved forward and backward spatial difference smoothing algorithm based on Wiener filtering is also proposed. Thus, the eigenvalue decomposition operation of subspace class algorithm can be avoided, and at the same time, the same performance with the IFBSDS algorithm can be obtained, which is more consistent with the real demand of MIMO radar signal real-time processing. |
url |
http://dx.doi.org/10.1155/2019/8515606 |
work_keys_str_mv |
AT jiangong animprovedspatialdifferencesmoothingmethodbasedonmultistagewienerfiltering AT yiduoguo animprovedspatialdifferencesmoothingmethodbasedonmultistagewienerfiltering AT qunwan animprovedspatialdifferencesmoothingmethodbasedonmultistagewienerfiltering AT jiangong improvedspatialdifferencesmoothingmethodbasedonmultistagewienerfiltering AT yiduoguo improvedspatialdifferencesmoothingmethodbasedonmultistagewienerfiltering AT qunwan improvedspatialdifferencesmoothingmethodbasedonmultistagewienerfiltering |
_version_ |
1725398070250700800 |