Research On Data Processing System Of Multifunctional Phased Array Radar

The multifunction phased array radar(MEPAR) is a tracking while scan radar, which performs electronically scanning instead of mechanical rotation. It is characterized by outstanding performance in air-defense and missile defense. The data processing system is a key part to realize the functional operations, including radar operation mode control, mission handling, scheduling of such radar events as search, verification and tracking, correlation, filtering and prediction of multiple maneuvering targets, target assignment, missile guidance and anti-missile functions.This paper presents an in-depth and comprehensive study on the system architecture of the data processing system in the multifunction phased array radars. A description is given to the network-based distributed expandable architecture of data processing system and its advantage.Due to the beam agility capability of array antenna, the multifunction phased array radar can perform surveillance, verification and tracking of multiple targets alternatively. Therefore, an effective scheduling mechanism is required that allocates the time and energy resources of radar to radar functions in such a way that the overall performance of MFPAR is optimized. In this paper, an adaptive scheduling algorithm is presented by analyzing the design principle, realization procedure and criteria of performance evaluation. The algorithm can reasonably schedule the dwell requests of each function on the basis of their priority, dwell length, expected time of transmission and time window. Sampling period is one of the pivotal parameters of phased array radar resources management. Several adaptive sampling period algorithms are studied and comparisons among them are given.This paper describes the main target moving math model for the radar data processing through summarizing the basic theory and the method for tracking maneuvering target. Beside, an analysis on the popular target tracking algorithm is given. Considering the features of radar data processing of multifunction phased array radar, one places the emphasis on such operation modes as scan and track, automatic verification and initiation. The “current” statistical model adaptive Kalman filter algorithm with practical engineering implementation and compatibility is proposed for the improvement. A number of examples for comparison between the improved algorithm and the conventional algorithm are given to prove the excellent performance of the improved algorithm. Finally, the applications of the improved algorithm in the physical equipment are given, which shows that its compatibility and practical performance can satisfy the requirements of system design.