CHANNEL AWARE SENSOR SELECTION IN DISTRIBUTED DETECTION SYSTEMS

被引:17
作者
Ahmadi, Hamid R. [1 ]
Vosoughi, Azadeh [1 ]
机构
[1] Univ Rochester, ECE Dept, Rochester, NY 14627 USA
来源
SPAWC: 2009 IEEE 10TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS | 2009年
关键词
Censoring; channel estimation error; distributed detection; partial channel state information; DECENTRALIZED DETECTION;
D O I
10.1109/SPAWC.2009.5161749
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We propose a novel censoring scheme for the distributed detection problem in a wireless sensor network (WSNs) with N sensors, where the channels between the sensors and the fusion center (FC) is subject to fading and noise. To achieve the best tradeoff between energy efficiency and detection reliability, the FC forms the maximum ratio combing (MRC) fusion rule by integrating the partial knowledge of fading channel state information (CSI) and the local sensor performance indices, finds the best set of K (K < N) sensors that maximizes the total detection probability in the Neyman-Pearson (NP) sense, and informs the selected sensors via one bit feedback. The FC learns the Rayleigh flat fading channels, utilizing training symbols sent by the sensors, via applying minimum mean square error (MMSE) channel estimator. Assuming the sensors employ BPSK to modulate their binary local decisions, we derive the MRC fusion rule that depends on the channel estimates and the sensors' performance indices, and incorporates the effect of channel estimation error. Simulation results are provided to support the analytical derivations.
引用
收藏
页码:71 / 75
页数:5
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