基于非理想信道的分布式多检测器软决策融合算法

在实际检测中由于带宽、信道衰落和信道噪声等因素的影响,从本地检测器至融合中心的信道通常无法保证为理想传输信道。对在非理想信道状态下检测系统的性能优化算法进行了研究,并且为了提高检测性能和合理的利用通信资源,在本地应用软决策判决。根据聂曼-皮尔逊规则推出本地检测器和融合中心的优化判决形式。最后通过两检测器系统仿真表明,应用软决策确实提高了系统的检测性能,而非理想信道的恶化又确实降低了系统的检测性能。

The Fusion Algorithm of Soft Decision in Distributed Detection Based on Non-ideal Channel

In the actual detection,due to bandwidth,channel fading and channel noise,the ideal channel can not be assured from the local detector to fusion centre.In this paper,the global optimal detection algorithm is studied based on the non-ideal channels.In addition,in order to improve the detection performance and use communicated resource rationally,the soft decision is applied in local detector.According to Neyman-Pearson rule the optimal decision forms of local detectors and the fusion centre are derived.Finally,simulations of two detectors show that by using soft decision the detection performance is improved,and the worsening of the non-ideal channel absolutely depresses the detection performance of the system.