| Autor: |
TANG Chao-chen, QIU Hong-bing, LIU Xin, TANG Qing-hua |
| Jazyk: |
čínština |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Jisuanji kexue, Vol 49, Iss 5, Pp 262-265 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1002-137X |
| DOI: |
10.11896/jsjkx.210300162 |
| Popis: |
For the problem of angle estimation,the noise in the receiver is usually assumed to be uniform for a multiple input multiple output (MIMO) radar.A non-uniform noise assumption is more realistic. However,The non-uniform noise will result in an unknown noise covariance matrix.If the traditional subspace-based angle estimation methods such as two dimensional multiple signal classification (2D-MUSIC) algorithm is applied directly,the estimation performance will be declined or failed.Therefore,designing new algorithms to estimate the noise covariance matrix and obtain the noise subspace is necessary.Compared with the iterative-based angle estimation algorithms,the non-iterative subspace-based(NIS-based) algorithms can reduce the computational complexity and do not carry out iterative calculation.For this reason,firstly,a one dimensional(1D) NIS-based algorithm under the condition of non-uniform noise is analyzed.Secondly,we extend it to 2D NIS-based angle estimation for the MIMO radar and provide theoretical analysis to verify the feasibility of such an extension.The final simulation results show that the proposed algorithm can obtain the joint direction of departure(DOD) and the direction of arrivals (DOA) of targets and has a good performance in angular accuracy. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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