Title :
On the optimality of equal gain combining for energy detection of unknown signals
Author :
Gezici, Sinan ; Sahinoglu, Zafer ; Poor, H. Vincent
Author_Institution :
Mitsubishi Electr. Res. Lab., Cambridge, MA
fDate :
11/1/2006 12:00:00 AM
Abstract :
In this letter, the optimally of equal gain combining (EGC) for energy detection of unknown signals in a system with receive-diversity is studied. It is shown that EGC results in an optimal test statistic for infinitesimally small signal-to-noise ratios (SNRs); however, it does not yield the optimal test for all SNR values according to the Neyman-Pearson criterion. In other words, EGC does not induce a uniformly most powerful (UMP) test for unknown signal detection
Keywords :
diversity reception; signal detection; EGC; Neyman-Pearson criterion; equal gain combining; optimal test statistic; receive-diversity; unknown signal detection; AWGN; Additive white noise; Detectors; Diversity reception; Energy measurement; Gaussian noise; Radar detection; Receiving antennas; Signal detection; Testing;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2006.060906
