A computationally efficient algorithm for joint range--DOA--frequency estimation of near-field sources

  • Authors:

  • Junli Liang;Xianju Zeng;Bangjie Ji;Junying Zhang;Feng Zhao

  • Affiliations:

  • National Key Laboratory of Underwater Information Process and Control, China Shipbuilding Industry Corp., Xi'an, China;National Key Laboratory of Underwater Information Process and Control, China Shipbuilding Industry Corp., Xi'an, China;National Key Laboratory of Underwater Information Process and Control, China Shipbuilding Industry Corp., Xi'an, China;National Key Laboratory of Underwater Information Process and Control, China Shipbuilding Industry Corp., Xi'an, China;National Key Laboratory of Underwater Information Process and Control, China Shipbuilding Industry Corp., Xi'an, China

  • Venue:
  • Digital Signal Processing
  • Year:
  • 2009

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Abstract

Near-field source localization using passive sensor arrays plays an important role in array signal processing areas. Although many algorithms have been developed to deal with this issue, most of them suffer from either parameter match or heavy loss of the aperture or high computational complexity problems. To overcome these problems, a new algorithm is proposed in this paper to jointly estimate the ranges, directions-of-arrival (DOAs), and frequencies of multiple near-field narrow-band sources. Simulation results verify that the proposed algorithm can resolve these problems and give much better performance.