Decentralized Sequential Detection of a Non-Cooperative Target Based on Uniform Sampling and One-Bit Quantization
Hu Li, Shilian Wang · 2020
This paper considers the decentralized detection of a non-cooperative target by employing a wireless sensor network. Suppose that, if present, the target emits an unknown randomly-fluctuating signal experiencing distance-dependent attenuation. The observed signals at different sensors are then sequentially transmitted to a fusion center (FC). In order to detect the target as quickly as possible, based on uniform sampling and one-bit quantization, we propose a truncated one-sided sequential (TOS) test scheme with a finite deadline. With a deadline slightly larger than the sample size of a benchmarked Fixed-Sample-Size (FSS) test, the proposed TOS test rule provides the same detection performance and significantly accelerates the target detection process on average.