两元两站分布式判决系统中的最优分站压缩律

THE OPTIMAL LOCAL COMPRESSION RULE UNDER BINARY HYPOTHESES BINARY SENSORS

讨论在中心融合律给定下两元两站分布式判决系统中最优分站压缩律的问题，着重讨 论两种高斯信号检测，得出的结论是：在高斯噪声影响下的确定性信号检测中，和在随机性高斯 信号检测中，当方差、相关系数满足一定条件。

The authors consider the local compression rule in decentralized binary sensors binary decision system with fixed center fusion rule, discuss whether the local likelihood ration test is the optimum local compression rule, extent Chen Poning's results to the random Guassin detection. And obtain a condition under which the local likelihood ratio test is the optimum local compression.