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分布式MIMO声纳中运动目标参数快速估计 被引量:2

A fast estimation method of moving target parameters with a single receiver in distributed MIMO sonar
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摘要 分布式MIMO声纳由于自身的优点而成为当前研究的热点,但常规的目标参数估计方法均存在着一定的缺陷,无法满足分布式MIMO声纳的要求。针对这种情况,本文提出一种适用于分布式多输入多输出(MIMO)声纳中使用单接收阵元的运动目标参数快速估计方法,给出了单接收阵元情况下的信号模型,提出了快速估计方法并给出了流程图,并通过数值仿真验证了该方法的有效性。结果表明,该方法可以在只采用一个接收阵元的情况下分辨多个运动目标并进行参数估计,节省了通信带宽;所需运算量远小于最大似然(ML)方法,并可以实时实现;此外,该方法不要求目标做匀速直线运动,适合于实际应用。 Distributed MIMO sonar has been paid more attention currently for its advantages.However,the general es-timation methods of target parameters could not meet the requirements of distributed MIMO sonar due to their defects.Therefore,a fast estimation method of moving target parameters with a single receiver in distributed MIMO sonar is studied in this paper.A signal model under the condition of a single receiver is given and the fast estimation method with its flow chat is proposed.The data simulation proves the validity of the method.The results show that the method could distinguish multiple moving targets and estimates their parameters by using only one receiver.This method could save the communication bandwidth,and its calculation amount is much under the Maximal Likelihood method.Fur-thermore,this method can work in real time and without requiring target moving straightly,which is suitable for prac-tical application.
出处 《声学技术》 CSCD 2011年第3期219-222,共4页 Technical Acoustics
关键词 多输入输出(MIMO)声纳 单接收阵元 运动目标 参数快速估计 MIMO(multi-input-multi-output) sonar single receiver moving target fast parameter estimation
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参考文献5

  • 1李宇.MIMO探测声纳研究.声学技术,2007,:47-48.
  • 2LI Y, HUANG H, LI S, et al. LPI performance analysis of MIMO sonar detection[C]//UDT2008.
  • 3Yah Pailhas, et al. Broadband MIMO sonar system: a theoretical and experimental approach[C]// Underwater Acoustic Measurements: Technologies & Results, 2009.
  • 4Wenhua L. Cognitive MIMO sonar based robust target detection for harbor and maritime surveillance applications[C]//IEEE Aerospace Conference, 2009.
  • 5Fishier E. Spatial diversity in radars-models and detection performance[J]. IEEE Transactions on Signal Processing, 2006, 54(3): 823- 838.

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