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Generalized Approach to Signal Processing in CollaborativeWireless Sensor Systems for Target Detection

Generalized Approach to Signal Processing in CollaborativeWireless Sensor Systems for Target Detection
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摘要 Collaboration in wireless sensor systems must be fault-tolerant due to the harsh environmental conditions at which such systems can be deployed. This paper focuses on finding the signal processing algorithms for collaborative target detection based on the generalized approach to signal processing (GASP) in the presence of noise. The signal processing algorithms are efficient in terms of communication cost, precision, accuracy, and number of faulty sensors tolerable in the wireless sensor systems. Two types of generalized signal processing algorithms, namely, value fusion and decision fusion constructed according to GASP in the presence of noise, are identified first. When comparing their performance and communication overhead, the decision fusion algorithm is found to become superior to the value fusion algorithm as the ratio of faulty sensors to fault free sensors increases. The use of GASP under designing the value and decision fusion algorithms in wireless sensor systems allows us to obtain the same performance, but at low values of signal energy, as well as under employment of the universally adopted signal processing algorithms widely used in practice.
机构地区 EE School
出处 《Computer Technology and Application》 2011年第5期358-369,共12页 计算机技术与应用(英文版)
关键词 Target detection generalized receiver probability of detection probability of false alarm wireless sensor system. 信号处理算法 传感器系统 目标检测 广义 传感器故障 决策融合 融合算法 合作目标
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