Noise Analysis for a New Digital Beamformer On-Receive-Only

This paper provides noise analysis for a new kind of digital beamformer on-receive-only which uses pseudorandom spreading sequences as spreading sequence weights. It investigates the noise influence on the magnitude and phase of the array correlation output. Aiming at the corruption of white additive noise, we respectively adapt minimal error probability (MEP) detection to evaluate the array correlation output magnitude and combine maximal likelihood estimation (MLE) with minimum distance decision (MDD) to evaluate the array correlation output phase. From the simulation, we succeed in detecting the magnitude of the array correlation output and estimating its phase within noise environment.