Array Measured Correction To The System

With the increasingly high demand of the spatial signal detection and parameter estimation, array signal processing technology develops very fast as a main technology. Spatial spectrum estimation technology has great development as an important research direction of array signal processing. Super-resolution spatial spectrum estimation has high precision, high resolution performance and can simultaneously measure a number of signals, which get more extensive attentions in the military and other fields. However, such known algorithm requires precise array flow pattern. When array errors exist, the resolution performance of the algorithm will fall down sharply, sometimes even worse than the traditional methods, which has become the key of the practical application of super-resolution spatial spectrum estimation technique. Thus array errors calibration has become an important research question in this technology.In order to solve the above question, a series of array errors calibration algorithms are studied and compared in this paper. And then system calibration program is discussed and proposed. The main results are as follows:Array direction-finding signal model with system errors is studied and the mathematical models of kinds of array errors are set up. Then detailed analyses are given about the effects of a variety of array errors on array direction-finding algorithm performance. The corresponding simulations are made and finally an important conclusion is obtained, which is that amplitude-phase errors and mutual coupling error are the major factors.A variety of array error calibration technologies are introduced. At first the array calibration algorithms with sources are briefly introduced. Then three types of self-calibration algorithms are discussed and researched in details, including calibration based on the own characteristics of array structure, calibration based on iterative optimization of high-dimensional search and calibration based on eigen-decomposition like ESPRIT. Finally by simulation analyses and comparisons are made about the performance characteristics and the application scope of the three types of self-calibration algorithms. The error calibration technology of the array direction-finding system on satellite is studied. The array direction-finding system on satellite is briefly introduced, and then the system calibration program is put forward in details. Finally a self-calibration algorithm for gains and phases errors is proposed, which applies ESPRIT-type self-calibration technology to a fast direction-finding algorithm based on double-L array. Simulation results prove the effectiveness of the proposed method.Finally a scene simulation platform of array direction-finding system on satellite by MATLAB is designed. The simulation system interface is introduced and the feasibility is proved by simulation.