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A low-cost and robust multimodal wireless network with adaptive estimator and GLRT detector

The problem of using a multiple-node indoor wireless network as a distributed sensor network for detecting physical intrusion is addressed. The challenges for achieving high system performance are analyzed. A high-precision adaptive estimator and a high-precision signal level change estimator are derived. Based on the low computational complexity of the estimators, a low-cost and robust system architecture is proposed. Experiments show that the proposed system performs significantly better than the published prototype multimodal wireless network system.