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	1. BAYESIAN DETECTION AND DOA ESTIMATION BASED ON MONTE CARLO METHODS
	Jianguo Huang,Da Xie
	Electrics, Communication and Autocontrol Technology 27 February 2006
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:A new criterion based on Bayesian MAP densities is proposed for simultaneous detection of signals impinging on a sensor array and estimation of their direction-of-arrival (DOA). The proposed detection criterion is strongly consistent and outperforms the MDL and AIC criteria, particularly for a small number of sensors and/or snapshots, and/or low SNR, and/or small space of angle, without increased computational complexity. Simulation results demonstrate the performance of the proposed solution.
	TO cite this article:Jianguo Huang,Da Xie. BAYESIAN DETECTION AND DOA ESTIMATION BASED ON MONTE CARLO METHODS[OL].[27 February 2006] http://en.paper.edu.cn/en_releasepaper/content/5381


	2. Bayesian Maximum a Posterior DOA Estimation UsinBayesian Maximum a Posterior DOA Estimation Using Gibbs Sampling and Particle Filtering
	Liwei Tian,Jianguo Huang
	Electrics, Communication and Autocontrol Technology 30 December 2005
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	Abstract:The performance of Bayesian Maximum a posterior DOA estimator (BMAP) is excellent [1, 2], and it also can be used to estimate the DOAs of coherent sources [3]. However, the computation burden of this estimator is very large. In order to resolve the problem of computation burden, a new BMAP using Gibbs sampling and particle filtering is proposed and the formulation of this new estimator is derived. The simulation results show that the new estimator not only keeps the excellent performance of the original BMAP, but also provides reduced computational complexity of this estimator from O(LK) to O(K×J×Ns×N) especially for K>3 due to K Ns<N<J<L.
	TO cite this article:Liwei Tian,Jianguo Huang. Bayesian Maximum a Posterior DOA Estimation UsinBayesian Maximum a Posterior DOA Estimation Using Gibbs Sampling and Particle Filtering[OL].[30 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4765


	3. Bayesian Maximum A Posterior DOA Estimator Based on Importance Sampling
	Xie Da,Huang Jianguo,Li Xiong,Zhang Qunfei
	Electrics, Communication and Autocontrol Technology 29 December 2005
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	Abstract:DOA estimation is an important research area in array signal processing. Bayesian maximum a posterior probability density DOA estimator (BM DOA estimator) has been shown to perform perfectly. However, the BM estimator requires a multidimensional grid search and the computational burden increases exponentially with the dimension. So it is difficult to be used in realtime applications. In order to reduce the computation, Monte Carlo methods are combined with BM DOA estimator. A novel Bayesian maximum a posterior DOA estimator based on importance sampling (ISBM DOA estimator) is proposed in this paper. ISBM DOA estimator not only keeps the good performance of the original BM DOA estimator, but also reduces the computation obviously because it needs not multidimensional search and reduces the computational complexity of the original method from to . Simulation results show that ISBM DOA estimator keeps the superior performance of BM DOA estimator, but also reduces the computation evidently and performs better than MUSIC and MiniNorm, especially in the case of low SNRs.
	TO cite this article:Xie Da,Huang Jianguo,Li Xiong, et al. Bayesian Maximum A Posterior DOA Estimator Based on Importance Sampling[OL].[29 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4753


	4. eduction of the peak-to-average power ratio of OFDM by exploiting nonlinear transform
	Yinkuo Meng,Qinye Yin
	Electrics, Communication and Autocontrol Technology 22 December 2005
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	Abstract:In this paper, we present a nonlinear transform to efficiently reduce the high peak-to-average power ratio of OFDM. The nonlinear transform changes time domain signal amplitude‘s statistic distribution from Rayleigh to approximate uniform, therefore not only reduce time domain signal’s dynamic range, but also reduce the high peak to average power ratio to a low level. The proposed scheme performed well when in the circumstances of Rayleigh fading channel on the symbol error rate. The proposed scheme’s performance is confirmed by simulations
	TO cite this article:Yinkuo Meng,Qinye Yin. eduction of the peak-to-average power ratio of OFDM by exploiting nonlinear transform[OL].[22 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4568


	5. Fuzzy Identification Based on Wavelet-Transformed Feature Extraction
	LIN lin,Tang Bin,He Li,Lv Yan,Yuan Shunyi
	Electrics, Communication and Autocontrol Technology 19 December 2005
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	Abstract:This paper presents an approach of identifying signals in complex environments. The signals being studied include the following three kinds, communication signals, radar signals and telecontrol signals. A fuzzy identification based on wavelet transform to feature extraction of signal is proposed. In this study, signals will be analyzed by firstly being taken a wavelet transform, secondly extracted 10 effective statistic features on the time-scale field, and lastly identified by using the fuzzy identification method. Computer simulation shows that the method is effective.
	TO cite this article:LIN lin,Tang Bin,He Li, et al. Fuzzy Identification Based on Wavelet-Transformed Feature Extraction[OL].[19 December 2005] http://en.paper.edu.cn/en_releasepaper/content/4472

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