DOA Estimation Method of Weak Signal under the Compound Background of Strong Interference and Colored Noise
The traditional algorithm performing direction of arrival (DOA) estimation under the background of strong interference and colored noise has the problems of low estimation accuracy and small measurement targets. Based on the construction of a fourth-order cumulant (FOC) matrix to suppress colored no...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2022/3949988 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849309015471816704 |
|---|---|
| author | Bin Lin Guoping Hu Hao Zhou Guimei Zheng Yuwei Song |
| author_facet | Bin Lin Guoping Hu Hao Zhou Guimei Zheng Yuwei Song |
| author_sort | Bin Lin |
| collection | DOAJ |
| description | The traditional algorithm performing direction of arrival (DOA) estimation under the background of strong interference and colored noise has the problems of low estimation accuracy and small measurement targets. Based on the construction of a fourth-order cumulant (FOC) matrix to suppress colored noise, this paper adopts the extended noise subspace (ENS) algorithm and the fixed projection blocking (FPB) algorithm to estimate the DOA of weak targets. Firstly, a FOC matrix of the received signal vector is established to curb the noise component, and the eigenvalue decomposition is performed. Then, two approaches of weak signal DOA estimation are proposed. One approach is to merge the space where the strong interference steering vector lies into the noise subspace to construct an extended noise subspace, and then, the multisignal classification (MUSIC) algorithm is used to obtain the DOA estimation of the weak signal on the basis of the extended noise subspace. Another approach is to build the orthogonal projection matrix of the interference subspace as the interference blocking matrix, and the receiving array signal is preprocessed, and on the basis of it, the eigen decomposition is performed again to obtain the DOA information of the weak signal. Both algorithms make breakthroughs in the aperture limitation of the traditional algorithm, effectively expand the aperture, and promote the accuracy of estimation. The simulation tests the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-05c19d9c087f468f89a6d2c11713b165 |
| institution | Kabale University |
| issn | 1687-5877 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-05c19d9c087f468f89a6d2c11713b1652025-08-20T03:54:16ZengWileyInternational Journal of Antennas and Propagation1687-58772022-01-01202210.1155/2022/3949988DOA Estimation Method of Weak Signal under the Compound Background of Strong Interference and Colored NoiseBin Lin0Guoping Hu1Hao Zhou2Guimei Zheng3Yuwei Song4Air and Missile Defense CollegeAir and Missile Defense CollegeAir and Missile Defense CollegeAir and Missile Defense CollegeAir and Missile Defense CollegeThe traditional algorithm performing direction of arrival (DOA) estimation under the background of strong interference and colored noise has the problems of low estimation accuracy and small measurement targets. Based on the construction of a fourth-order cumulant (FOC) matrix to suppress colored noise, this paper adopts the extended noise subspace (ENS) algorithm and the fixed projection blocking (FPB) algorithm to estimate the DOA of weak targets. Firstly, a FOC matrix of the received signal vector is established to curb the noise component, and the eigenvalue decomposition is performed. Then, two approaches of weak signal DOA estimation are proposed. One approach is to merge the space where the strong interference steering vector lies into the noise subspace to construct an extended noise subspace, and then, the multisignal classification (MUSIC) algorithm is used to obtain the DOA estimation of the weak signal on the basis of the extended noise subspace. Another approach is to build the orthogonal projection matrix of the interference subspace as the interference blocking matrix, and the receiving array signal is preprocessed, and on the basis of it, the eigen decomposition is performed again to obtain the DOA information of the weak signal. Both algorithms make breakthroughs in the aperture limitation of the traditional algorithm, effectively expand the aperture, and promote the accuracy of estimation. The simulation tests the effectiveness of the proposed method.http://dx.doi.org/10.1155/2022/3949988 |
| spellingShingle | Bin Lin Guoping Hu Hao Zhou Guimei Zheng Yuwei Song DOA Estimation Method of Weak Signal under the Compound Background of Strong Interference and Colored Noise International Journal of Antennas and Propagation |
| title | DOA Estimation Method of Weak Signal under the Compound Background of Strong Interference and Colored Noise |
| title_full | DOA Estimation Method of Weak Signal under the Compound Background of Strong Interference and Colored Noise |
| title_fullStr | DOA Estimation Method of Weak Signal under the Compound Background of Strong Interference and Colored Noise |
| title_full_unstemmed | DOA Estimation Method of Weak Signal under the Compound Background of Strong Interference and Colored Noise |
| title_short | DOA Estimation Method of Weak Signal under the Compound Background of Strong Interference and Colored Noise |
| title_sort | doa estimation method of weak signal under the compound background of strong interference and colored noise |
| url | http://dx.doi.org/10.1155/2022/3949988 |
| work_keys_str_mv | AT binlin doaestimationmethodofweaksignalunderthecompoundbackgroundofstronginterferenceandcolorednoise AT guopinghu doaestimationmethodofweaksignalunderthecompoundbackgroundofstronginterferenceandcolorednoise AT haozhou doaestimationmethodofweaksignalunderthecompoundbackgroundofstronginterferenceandcolorednoise AT guimeizheng doaestimationmethodofweaksignalunderthecompoundbackgroundofstronginterferenceandcolorednoise AT yuweisong doaestimationmethodofweaksignalunderthecompoundbackgroundofstronginterferenceandcolorednoise |