The Plane Detection Sensitivity Evaluation System In The Basic Model

Aircraft survivability becomes more and more important recently and is considered as one of the main guideline of military aircraft design in western advanced countries, such as Russia and U.S.A. Survivability consists of susceptibility, vulnerability, battle damage repair etc. Susceptibility has been given high priority, because the main objective of susceptibility is to avoid being hit by hostile fires, such as surface-to-air missiles, air-to-air missiles and so on.Nowadays, radar is still the major means to detect and identify aircraft at long ranges. The first threat aircraft encountered during the mission flight is hostile detection system. The time and range of detection system required to identify the target for a given probability of detection are two important parameters for both sides. This is what we do here in this paper, researches of aircraft detection susceptibility, aircraft-radar detection system correlations and related problems.There are four parts in this paper mainly, target and clutter fluctuating models research, detection performance analysis of constant false alarm rate (CFAR) detector, detection performance analysis of distributed detection system and aircraft-radar detection system engagement model research.In the first part, we focus more on Swerling I to IV and chi-square target fluctuating model, Weibull and compound K-distribution clutter fluctuating model. In the second part, this paper presents general solution for detection performance evaluation of different kinds of CFAR detector. As to the difficulties that conventional methods confronted with, we apply importance sampling (IS) method to solve. In the third part, we develop a full research on the parallelly distributed detection system that consist of multiple distributed local detectors and one data fusion center. The optimization of the whole system under the constraint of a global constant false alarm probability is done by using the Lagrange multiplier optimization technique. The difficulty encountered in the performance evaluation of distributed detection system is the solution of the nonlinear equations. For Newton-Raphson iterative method, the derivatives of detection probability and false alarm probability of distributed local detectors must be available. This paper develops general software system and solves this problem quickly, effectively and reliably. As to the cases that the derivatives do not exist, this paper applies genetic algorithm (GA) to the detection performance evaluation of distributed detection system and gets satisfied results. In the forth part,the engagement model between aircraft and radar detection system is studied. The relationships of detection probability, range, time and its solving method are presented here. The results of sampling application show feasibility and validity of those methods.From the viewpoint of aircraft susceptibility, this paper gives a systematic research on the engagement between aircraft and radar detection system and yields preliminary applicable results. The works done this paper build the foundation also for the following researches in the related fields.