Optimizing Non-MSE Distortion for Data Compression in Emitter Location Systems

We present a new distortion measure for compression in systems that share data in order to locate RF signal emitters and discuss its optimal use. These results are relevant in wireless location systems, electronic warfare systems, and sensor networks. The optimal bit allocation with respect to this distortion measure is accomplished through use of a genetic algorithm with a penalty function. We present the general principles on which the distortion measure is based and then derive its specific form for the problem at hand. Then we describe a penalty function used with a genetic algorithm to optimize the bit allocation with respect to the new distortion measure. Finally, presented simulation results demonstrate the effectiveness of the method: (i) a 60% improvement in compression ratio for the same level of TDOA accuracy and (ii) a 30% reduction in TDOA error at a compression ratio of 8.