Виявлення цілі в імпульсно-допплерівській РЛС на основі багатооглядового накопичення сигналів

Abstract

Introduction. Development of multi-scanning signal integration algorithms for pulseDoppler radars which are widely used in practice is of great practical importance. Problem statement. The problem of multi-scanning signal integration measuring range and range-rate is considered. The reflected signal from a target is a distorted white noise coherent packet of radio pulses with random initial phase and known amplitude. Target detection in a sequence of radar scans is reduced to the detection of target track. Development of a two-step multi-scanning incoherent signal integration algorithm. Two-step integration method is applied to reduce the number of tracks. In the first stage the initial signals detection with a sufficiently high probability of false alarm is performed. In the second stage the tracking problem for selection target markers is solved and the multiscanning signal integration is implemented. It provides an optimal target detection solution over K surveys with low signal-to-noise ratio. Expressions for the correct target detection probability and false alarm incorporating quality track tracking are obtained. Simulation results. Analysis of the algorithm is carried out as example of the little maneuvering target detection using the statistical modeling. The methods of calculating the output threshold (the cumulative statistics are compared on it) is presented. Conclusions. Increasing the number of scans (in which the integration are performed) leads to a significant decreasing the probability of false alarm, which allows to increase the signal-to-noise ratio compared with the detection in a single scan up to 3.5 dB.