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一种基于阵列单通道的DOA估计新方法 被引量:1

A New DOA Estimation Approach Based on Single Channel Array
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摘要 为克服阵列多通道系统硬件量大,造价高及通道间存在不一致时性能恶化等不足,提出了一种新的基于阵列单通道的DOA估计方法。首先,通过射频开关控制接收通道轮流对各阵元进行采样建立新的阵列单通道窄带信号空间谱估计模型,接着基于该模型推导了来波方向的后验概率密度函数,然后结合马尔科夫链蒙特卡洛方法(MCMC),实现了DOA的估计。仿真实验结果表明,该方法参数估计性能好,分辨率高,能够处理相干信号。 A new direction of arrival (DOA) estimation algorithm for single channel array is proposed to overcome the shortcomings of multiple channel system, such as too complex and high cost hard- ware, performance change for the worse due to the inconsistency among multiple channels. Firstly, it establishes a new narrowband signal processing model of single channel array via controlling receive channel by radio frequency shift, this model only requires the array outputs to be sampled one at a time by a single receive channel. Next it gives the posterior parameter function of the DOA. Then combined with Markov Chain Monte Carlo(MCMC) methods, the DOA estimation is realized. Computer simulation verifies that the proposed algorithm is applicable to correlated and incorrelated signals, and has high performance and resolution.
出处 《电子信息对抗技术》 2012年第3期32-36,共5页 Electronic Information Warfare Technology
关键词 单通道轮采 贝叶斯参数估计 MCMC DOA估计 single channel sequential sampling Bayesian parameter estimation MCMC DOA estimation
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参考文献10

  • 1赵益民,鞠德航.协方差矩阵的权微扰算法[J].电子学报,1996,24(3):125-127. 被引量:15
  • 2屈金佑,游志刚,张剑云.基于插值恢复多通道信号的单通道测向方法[J].系统工程与电子技术,2007,29(1):21-23. 被引量:10
  • 3C M S. A Single Channel Approach to High Resolution Direction Finding and Beamforming [ C ]. IEEE Interna- tional Conference on Digital Object Identifier, 2003:217 - 220.
  • 4SVANTESSON T, WENNSTROM M. High- Resolution Direction Finding Using a Switched Parasitic Antenna[ C ]. Statistical Signal Processing, Proceedings of the llth IEEE Signal Processing Workshop on, 2001:508- 511.
  • 5HARTER N, KEAVENY J, VENKATESH S, et al. Analysis and Implementation of a Novel Single Channel Direction Finding System[ C]. IEEE Wireless Communica- tions and Networking Conference, 2005: 2530 - 2533.
  • 6HU Dexiu, LI Donghai, CUI Hao. A New Approach of High Resolution Direction Finding Using Single Channel Receiver[ C ]. IEEE International Conference on Image Analysis and Signal Processing, 2010:513- 517.
  • 7WILLIAM N G, JAMES P R. Wideband Array Signal Pro- cessing Using MCMC Methods[J]. IEEE Trans on Signal Processing, 2005, 53(2) :411 -426.
  • 8金美娜,赵拥军,盖江伟.一种基于混合RJMCMC方法的宽带信号DOA估计方法[J].电子与信息学报,2010,32(2):504-508. 被引量:10
  • 9张珂,张剑云.无源单通道阵列快速DOA估计算法[J].电子信息对抗技术,2011,26(5):5-9. 被引量:1
  • 10ANDREAC, DOUCET A. Joint Bayesian Model Selection and Estimation of Noisy Sinusoids via Reversible Jump MCMC[J]. IEEE Trans on Signal Processing, 1999, 47 (10) : 161 - 166.

二级参考文献24

  • 1黄有方.带通信号的直接采样与重构[J].信号处理,1993,9(4):194-198. 被引量:9
  • 2赵益民,鞠德航.协方差矩阵的权微扰算法[J].电子学报,1996,24(3):125-127. 被引量:15
  • 3赵益民,鞠德航.单通道接收机实施空间谱估计测向[J].通信学报,1997,18(2):7-11. 被引量:16
  • 4Ruanaidh J J K and Fitzgerald W J. Numerical Bayesian Methods Applied to Signal Processing [M]. New York:Springer-Verlag, 1996: 69-95.
  • 5Huang Jian-guo, Chen Jian-feng, Liu Chun-ming, and Djuric P M. A Bayesian approach to higher resolution direction-of-arrival estimation[C]. Proceedings of the Fourth International Conference on Signal Processing, Beijing, China, October, 1998:194- 197.
  • 6Ng W and Reilly J P. Wideband array signal processing using MCMC methods [C]. IEEE Transactions on Signal Processing, 2005, 53(2): 411-426.
  • 7Green P J. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination [J]. Biometrika, 1995, 82(4): 711-731.
  • 8Elson E C, Bassett B A, Van Der Heyden K, and Vilakazi Z Z. A new approach to the optimal target selection problem [J] Astronomy 85 Astrophysics manuscript, 2007 50811: 1167-1175.
  • 9Laine M. Adaptive MCMC methods with applications in environmental and geophysical models [D]. [P.D. dissertation] Finnish Meteorological Institute Helsinki, 2008.
  • 10Roberts G O and Rosenthal J S. Coupling and ergodicity of adaptive MCMC. http://probability.ca/jeff/ftpdir/adapt. pdf, 2008. 12.

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