【摘要】：多源空間配準(zhǔn)是雷達(dá)數(shù)據(jù)處理中的一個(gè)重點(diǎn)研究方向。尤其是復(fù)雜環(huán)境條件下,系統(tǒng)誤差的存在對(duì)配準(zhǔn)結(jié)果精度將造成非常大的影響。因此,系統(tǒng)誤差的處理是提高配準(zhǔn)結(jié)果精度的關(guān)鍵。本文針對(duì)該問題進(jìn)行了一些相關(guān)研究工作,具體內(nèi)容包括以下幾個(gè)方面:(1)針對(duì)廣義最小二乘算法在WGS-84 (World Geodetic System-84)坐標(biāo)系中存在收斂速度慢及收斂性能不穩(wěn)定的問題,對(duì)廣義最小二乘算法進(jìn)行了改進(jìn)。改進(jìn)的算法以收斂步數(shù)作為最小二乘算法中的量測(cè)精度加權(quán)因子,使得量測(cè)精度隨著步數(shù)的變化而變化,從而實(shí)現(xiàn)了收斂步數(shù)的減少和收斂之后穩(wěn)定性的改善,提高了目標(biāo)跟蹤定位的性能。仿真結(jié)果表明,改進(jìn)的廣義最小二乘算法優(yōu)于廣義最小二乘算法,進(jìn)一步驗(yàn)證了該算法的有效性。(2)為了解決雷達(dá)組網(wǎng)中誤差配準(zhǔn)異常導(dǎo)致定位結(jié)果不準(zhǔn)確這一問題,對(duì)約束總體最小二乘算法進(jìn)行了改進(jìn)。改進(jìn)的算法通過建立步長因子與步數(shù)之間的非線性函數(shù)關(guān)系,使得算法在初始階段具有步長較大而穩(wěn)態(tài)時(shí)步長較小的特點(diǎn),因此能同時(shí)獲得較快的收斂速度和較小的穩(wěn)態(tài)誤差,從而降低了異常誤差配準(zhǔn)對(duì)定位精度的影響,使定位結(jié)果更加準(zhǔn)確。理論推導(dǎo)與仿真結(jié)果表明,變步長約束總體最小二乘算法優(yōu)于約束總體最小二乘算法,進(jìn)一步驗(yàn)證了該算法的有效性。(3)介紹了利用MFC開發(fā)軟件實(shí)現(xiàn)多雷達(dá)空間配準(zhǔn)方法測(cè)試軟件開發(fā)的過程。首先在MFC中插入控件,從而可以建立雷達(dá)空間配準(zhǔn)所需要的一些參數(shù),然后通過按鈕控件調(diào)用C++程序;之后再進(jìn)行編譯和調(diào)試;最后通過TeeChart顯示雷達(dá)誤差配準(zhǔn)曲線圖,實(shí)現(xiàn)多雷達(dá)空間配準(zhǔn)方法測(cè)試軟件的開發(fā)。
[Abstract]:Multi-source spatial registration is a key research direction in radar data processing. Especially in complex environment, the existence of system error will have a great impact on the accuracy of registration results. Therefore, the processing of system error is the key to improve the accuracy of registration results. In this paper, some related research work has been carried out to solve this problem. The main contents are as follows: (1) in order to solve the problems of slow convergence rate and unstable convergence performance of the generalized least square algorithm in WGS-84 (World Geodetic System-84) coordinate system, the generalized least square algorithm is improved. The improved algorithm takes the convergent step number as the weighted factor of the measurement accuracy in the least square algorithm, which makes the measurement accuracy change with the change of the step number, thus realizing the reduction of the convergence step number and the improvement of the stability after convergence. The performance of target tracking and positioning is improved. The simulation results show that the improved generalized least square algorithm is superior to the generalized least square algorithm, which further verifies the effectiveness of the algorithm. (2) in order to solve the problem of inaccurate location results caused by abnormal error registration in radar network, The constrained total least square algorithm is improved. By establishing the nonlinear function relationship between step size factor and step number, the improved algorithm has the characteristics of large step size and small steady state error in the initial stage, so it can obtain faster convergence speed and smaller steady state error at the same time. Thus, the influence of abnormal error registration on positioning accuracy is reduced, and the positioning results are more accurate. The theoretical derivation and simulation results show that the variable step size constrained total least square algorithm is superior to the constrained total least square algorithm. The effectiveness of the algorithm is further verified. (3) the development process of multi-radar spatial registration method test software using MFC development software is introduced. Firstly, the control is inserted into MFC, so that some parameters needed for radar space registration can be established, and then C program can be called through button control, and then compiled and debugged. Finally, the radar error registration curve is displayed by TeeChart, and the test software of multi-radar spatial registration method is developed.
【學(xué)位授予單位】：南京信息工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN95;TP311.52

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本文編號(hào)：2488326