总发射功率约束条件下分布式相干检测融合

Total Power Constrained Distributed Coherent Detection Fusion

针对传感器融合系统总发射功率约束条件下的相干检测融合问题,利用偏移系数极大化理论优化系统检测性能.建立了基于多址接入信道传输的多传感器分布式相干检测融合模型,根据融合中心对信道增益信息的获取程度,提出了信道增益信息完美已知时的总发射功率约束相干检测融合方法(TPC-DCM方法)和信道增益统计信息已知时的总发射功率约束相干检测融合方法(TPC-DCM-CS方法),上述两种方法分别将总发射功率约束分布式检测融合问题转化为一个秩为1的最大特征值问题,获得了最优加权乘性系数的闭合解.蒙特卡洛仿真试验表明:在低虚警概率条件下,当信噪比大于等于0dB时,文中提出的方法的性能优于传统的基于并行网络拓扑结构的最优似然比方法.

This paper is mainly about the total power constrained distributed coherent detection. The deflection coefficient maximization （DCM） is used to optimize the performance of the fusion system under the total power constraint. The model of the distributed coherent detection fusion system based on the multiple access channel （MAC） was established. According to the information access degree of the fusion center,in each scenario,two cases were studied,including the other with the perfect channel gain information and the other with the statistical channel gain information. Two methods named TPC-DCM and TPC-DCM-CS proposed. The problem of distributed detection fusion under total power constraints of the system was transformed into the largest eigenvalue problem with a rank one by the two methods with the closed-form solutions of the optimal weighting coefficients obtained. Monte-Carlo simulations indicate that, when the SNR is greater than or equal to 0 dE and the false alarm probability is low, the proposed method is superior in the detection performence to the existing LRT method which is the optimal based on the parallel access channel （PAC） scheme.