Multi-Bit & Sequential Decentralized Detection of a Noncooperative Moving Target Through a Generalized Rao Test
Multi-Bit & Sequential Decentralized Detection of a Noncooperative Moving Target Through a Generalized Rao Test
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DOI：
10.1109/tsipn.2021.3126930
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发表时间：
2021-01-01
影响因子：
3.2
通讯作者：
Wang, Wei
中科院分区：
文献类型：
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作者：
Cheng, Xu;Ciuonzo, Domenico;Wang, Wei
我们认为分散检测（DD）的非合作的移动目标通过无线传感器网络（WSNs），测量在零均值单峰噪声。为了解决能量和带宽限制，传感器使用多级量化器。编码的比特然后经由二进制对称信道被报告给融合中心（FC）。在这里，我们提出了一个广义Rao（G-Rao）测试作为一个更简单的替代广义似然比测试（GLRT）。然后，在FC，截断单侧序贯（TOS）测试规则被认为是除了固定样本量（FSS）的方式。此外，渐近性能的自动透视（多位）拉奥测试是利用开发一个离线和每个传感器的量化器设计。还引入了检测增益措施来评估分辨率的改进。仿真结果表明了G-Rao检验相对于广义似然比的吸引力，以及使用多比特量化的检测增益，以及顺序检测方法的优点。
We consider decentralized detection (DD) of an uncooperative moving target via wireless sensor networks (WSNs), measured in zero-mean unimodal noise. To address energy and bandwidth limitations, the sensors use multi-level quantizers. The encoded bits are then reported to a fusion center (FC) via binary symmetric channels. Herein, we propose a generalized Rao (G-Rao) test as a simpler alternative to the generalized likelihood ratio test (GLRT). Then, at the FC, a truncated one-sided sequential (TOS) test rule is considered in addition to the fixed-sample-size (FSS) manner. Further, the asymptotic performance of a trajectory-clairvoyant (multi-bit) Rao test is leveraged to develop an offline and per-sensor quantizer design. Detection gain measures are also introduced to assess resolution improvements. Simulations show the appeal of G-Rao test with respect to the GLRT, and the gain in detection by using multiple bits for quantization, as well as the advantage of the sequential detection approach.