Simulation Of Detection For Multiple Unresolved Targets With Monopluse Radar

The conventional monopulse radar is widely used for tracking the target due to its high accuracy in angular measurements. It’s hard to resolve the multiple targets when the target returns occupying a certain resolution cell. At present, there is a large gap between our country and abroad in the number of multi- target resolution and the accuracy of multi-target angle measurements. The paper aims to study the solution of the detection and discrimination for multiple unresolved targets. Using modern method of signal processing based on the current theory basis and research equipment, with an effective detection algorithm to realize detection and angle estimation of monopulse radar.The paper discusses the principles of angle measurement on the basis of monopulse radar guidance system. Meanwhile, it analyses the impact of the target’s radar cross section to monopulse radar. Adopt the generalized likelihood radio test based on the Neyman-Pearson criterion to determine the detecting threshold. It’s certificated that the algorithm has a good detection effect through Matlab simulation. Analyze the advantages and limitations of moment matching estimation algorithm and maximum likelihood estimation algorithm by contrasting them. Monte Carlo simulation indicates that both angle estimation algorithms can estimate the angles of two unresolved targets well with the signal to noise ratio for each target known. The performace of the estimation of maximum likelihood algorithm is better.An improved method of signal to noise ratio estimation is proposed in this paper to solve the unknown SNR when extracted the angle measurements for two unresolved targets in monopulse radar. A signal processor with high sampling rate is necessary to the target returns. Special samples are selected to estimate the SNR according to the detection results of two unresolved targets. The maximum likelihood angle extractor can be used for estimating the direction of arrival of each target with this prior information on SNR. Finally, the algorithm is extended to three unresolved targets and the performance of the method proposed in this paper is studied via computer simulation.