Title :
Error bounds for parallel distributed detection under the Neyman-Pearson criterion
Author :
Chen, Po-Ning ; Papamarcou, Adrian
Author_Institution :
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
fDate :
3/1/1995 12:00:00 AM
Abstract :
The Neyman-Pearson performance of a distributed detection system is considered wherein n independent and identically distributed observations are quantized locally into M-ary messages and transmitted to a fusion center. Under fairly general assumptions, it is shown that the type II error probability achieved by the best identical-quantizer system is at most a fixed (in n) multiple of that achieved by the absolutely optimal system
Keywords :
error analysis; sensor fusion; signal detection; M-ary messages; Neyman-Pearson criterion; absolutely optimal system; distributed detection system; identical-quantizer system; parallel distributed detection; type II error probability; Atomic measurements; Educational institutions; Error probability; Quantization; Sensor arrays; Tin; USA Councils; Upper bound;
Journal_Title :
Information Theory, IEEE Transactions on