Title :
Transmit waveform synthesis for MIMO radar using spatial-temporal decomposition of correlation matrix
Author :
Tao Yang ; Tao Su ; Wen-Tao Zhu ; Hui-yang Wu
Author_Institution :
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
Abstract :
In order to synthesize a desired spatial beampattern, which is mapped into a waveform correlation matrix, a computationally attractive method is proposed in this paper. This method decomposes the correlation matrix into a spatial direction matrix (SDM) and a temporal division matrix (TDM). Then the SDM is formed by using a set of transmit steering vectors, whose angles can be estimated by MUSIC, and the TDM is constructed by (0, 1)-matrix and orthogonal (uncorrelated) waveforms. The proposed algorithm leads to constant-modulus transmit signals with good auto and cross-correlation properties. Furthermore, this algorithm achieves almost the same performance as the cyclic algorithm while having lower computational complexity than the existing methods. A number of numerical examples are presented to demonstrate the effectiveness of the proposed algorithm.
Keywords :
MIMO radar; computational complexity; correlation methods; matrix decomposition; numerical analysis; radar signal processing; signal classification; vectors; waveform analysis; MIMO radar; MUSIC; SDM; TDM; autocorrelation property; computational complexity; constant-modulus transmit signal; cross-correlation property; cyclic algorithm; spatial beampattern; spatial direction matrix; spatial-temporal decomposition; steering vector transmission; temporal division matrix; transmit waveform synthesis; waveform correlation matrix decomposition; Correlation; Covariance matrices; MIMO radar; Matrix decomposition; Radar antennas; Time division multiplexing;
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
DOI :
10.1109/RADAR.2014.6875801