Reseach On Data Processing For Airborne-radar Of Sea Targets

Airborne radar can realize early warning and detection over a large distance takeing advantage of aircraft height, and indicate surface weapons to implement remote combat using the observed position and motion state parameters. In order to realize the indication ability of long-range strike target capability, it is necessary to estimate accurately the position and motion state parameters. Target data processing is used to accomplish targets tracking after signal processing, realizing track prediction and smoothing, track initiation and termination, data association, etc, which can keep real-time tracking of targets. Sea target data processing is carried on under the complex conditions of high false alarm rate, slow speed of targers, low precision of azimuth angle measurement and the angular variations, which is difficult to estimate the motion state parameters directly by common data processing. In this paper, the characteristics of sea target measurement are studied in detail to propose the data processing, improving the track quality of sea-surface targets, promoting the sea-surface target detection performance. This dissertation mainly focuses on the following aspects of work:1. The factors impacting target detection are studies in detail and measurement errors are achieved by the actual measuring data. The characteristics of sea targets tracks are summarized. There are problems of high false alarm rate and jitters of the trace.2. To solve the problems of high false alarm rate and slow velocity, the amultiple track initiation algorithm combined with the two-hierarchy Hough transform based on dynamic states and range and logic method is proposed. The simulation results based on real sea targets verify the effectiveness of the algorithm.3. The filter algorithms based on improved Kalman filter is proposed. The filter algorithm based on improved Kalman filter take advantage of the stable course of sea targets, smoothing the target track in space, then filtering in time- domain to estimate the motion state parameters. The results of simulation and actual measuring data prove that the improved tracking filter has the stable and credible performance, whith is suitable for engineering. In the filter algorithm based on the adaptive particle filter, adaptive particle filter(PF) is used to solve the ship tracking problem under glint noise. The algorithm can choose the number of particles based on KLD-Sampling, which is efficient and has smaller time consumption.4. The azimuth angle compensation algorithm is proposed to sovle the target trace drift problem when the flying posture of airborne observation platform changing, which sovle the problem in the real project. The azimuth angle error is the main reason of trace drift by contrasting the position of the radar and GPS, and the azimuth angle revise algorithm is algorithm. The results of actual measuring data prove that the jitters of the trace are wenkened after compensation.5. The simulation software is designed by analysising the engineering demand and the design schenme of system structure, which can load aircrafts and targets data, do data processing, display the traces, and analysis the data after data processing.