A Low-communication-rate Fusion Approach Based on Censored Data
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摘要: 在多基地雷达中，该文为解决局部雷达站同融合中心之间通信带宽受限的问题，提出一种基于删失数据的分布式融合(CDDF)检测算法。在局部雷达站具有多通道接收系统的条件下，计算了杂波背景下动目标回波信号的似然比函数。各个局部雷达站根据其自身传输信道的通信限制设置局部门限，剔除低于局部门限的似然比，同时将高于局部门限的似然比向融合中心传输。基于奈曼-皮尔逊引理，融合中心根据接收到的删失数据计算全局检验统计量，并将其与全局门限进行比较获得全局判决。此外，该文推导了全局门限同虚警概率或者检测概率的闭式表达式。数值仿真表明，该算法可以在大幅降低通信率的同时获得比“或”准则更好的检测性能，并且随着通信率的增加逐渐逼近集中式(CF)融合的检测性能。Abstract: In multistatic radar, a Censored Data-Based Decentralized Fusion (CDDF) is proposed to address the issue of fusing local observations with communication constraints. The local likelihood ratio is calculated based on the observation of moving target immersed in clutter, where the local radar site possesses a coherent multi-channel array. Each local radar site transmits if and only if their observations’ likelihood ratios exceed the local thresholds, which determine the communication rates. By virtue of the Neyman-Pearson lemma, the global test statistic can be achieved by combining received censored data. The fusion center makes a global decision through comparing the global test statistic with a global threshold. Besides, the closed-form expression of probability of false alarm or probability of detection is also derived in this paper. Numerical simulation shows that the CDDF has better performance than " OR” rule, while approaching the performance of Centralized Fusion (CF) with the increase of the communication rate.
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