A new transmit beamforming algorithm for subarray MIMO radar

Author

Yong-hao Tang ; Xiao-Feng Ma ; Wei-Xing Sheng ; Yu-Bing Han

Author_Institution

Sch. of Electron. & Opt. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China

fYear

2013

fDate

15-18 Oct. 2013

Firstpage

255

Lastpage

258

Abstract

Benefiting from its extra degrees of freedom brought by waveform diversity, MIMO radar allows to optimize the transmit beam-pattern much more freely. In this paper, a new transmit beamforming algorithm is proposed for subarray MIMO radar. Firstly, the correlation matrix of the transmitted waveforms is optimized to focus the transmit energy within the interested sectors. Then, the eigendecomposition method is applied to calculate the subarray beamforming weights according to optimized correlation matrix. Meanwhile, a principle for determining the number of the subarrays is proposed, which will reduce the computational complexity for subarray MIMO radar. In addition, simulation results show that the proposed method obtains a better DOA estimation performance compared to some of the existing transmit beamforming methods.

Keywords

MIMO radar; array signal processing; computational complexity; correlation methods; direction-of-arrival estimation; eigenvalues and eigenfunctions; radar signal processing; DOA estimation performance; computational complexity; direction-of-arrival estimation; eigendecomposition method; optimized correlation matrix; subarray MIMO radar; subarray beamforming weights; transmit beamforming algorithm; waveform diversity; Array signal processing; Arrays; Correlation; Direction-of-arrival estimation; Estimation; MIMO radar; Signal to noise ratio; Direction-of-arrival (DOA) estimation; Eigendecomposition method; Subarray MIMO radar; Transmit Beamforming;

fLanguage

English

Publisher

ieee

Conference_Titel

Phased Array Systems & Technology, 2013 IEEE International Symposium on

Conference_Location

Waltham, MA

Type

conf

DOI

10.1109/ARRAY.2013.6731837

Filename

6731837