DocumentCode
3423189
Title
Orthogonal waveforms design and performance analysis for MIMO sonar
Author
Wentao, Shi ; Jianguo, Huang ; Xiaodong, Cui ; Yunshan, Hou
Author_Institution
Coll. of Marine, Northwestern Polytech. Univ., Xi´´an, China
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
2382
Lastpage
2385
Abstract
In this paper, a Multiple-Input Multiple-Output (MIMO) sonar system which can deal with multiple targets is discussed, where orthogonal waveforms are transmitted simultaneously. According to the requirement of waveform orthogonality, the orthogonal frequency division pseudo-random signal (OFD-PR), orthogonal frequency division determinant signal (OFD-LFM) and the spread-spectrum code-based signal (Gold-BPSK) are designed. The Maximum Likelihood (ML) DOA estimator and CRB for MIMO sonar is described. The performance of MIMO sonar based on different waveforms is analyzed via experiments in an anechoic water tank. Simulation and experimental results show that the waveforms which we design possess the higher resolution for multiple source DOA estimation than its phased-array and they could resolve the two targets with a separation of 1/2 beam width at low SNR. The analysis of DOA estimates and experimental results show that the OFD-PR signal has much better performance than others.
Keywords
MIMO radar; OFDM modulation; direction-of-arrival estimation; maximum likelihood estimation; phase shift keying; sonar signal processing; Cramer Rao bound; MIMO sonar; anechoic water tank; maximum likelihood DOA estimator; orthogonal frequency division determinant signal; orthogonal frequency division pseudo-random signal; orthogonal waveforms design; performance analysis; spread-spectrum code-based signal; waveform orthogonality; Arrays; Direction of arrival estimation; MIMO; Maximum likelihood estimation; Signal resolution; Sonar; CRB; Design; Experimental results; Maximum Likelihood (ML) DOA estimator; Multiple-Input Multiple-Output (MIMO) sonar; Orthogonal waveforms; Phased-array;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5656922
Filename
5656922
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