Neyman-Pearson detector design for steady point targets with known phase detection
In order to analyze a radar's reflecting echo, a detector must be built for hypothesis testing. Due to the difficulty in assigning prior probabilities to target presence at a particular point in space and determining the cost of failing to detect a target, Neyman-Pearson detectors prove best for most radar applications. This paper investigates the design of a Neyman-Pearson detector for hypothesis testing of steady point targets with known phase. Once the hypotheses are made, the performance of the detector is evaluated in terms of the probability of detection (P/sub D/) versus different signal-to-noise ratios (SNR) for a fixed probability of false alarm (P/sub F/) The detector is further analyzed through the receiver operating characteristic (ROC) curves for different SNRs.