【摘要】：雷達散射中心提取是雷達自動目標識別領域的重要基礎性問題。散射中心提取的精度和效率直接影響著目標識別的精度和效率。因此,研究雷達目標散射中心提取技術成為目標識別等領域的重要問題之一。為了得到可靠的散射數(shù)據(jù),本文采用了基于積分方程的數(shù)值方法求解電磁散射問題。同時,將信息論中的壓縮感知技術應用于單站散射快速計算,為雷達散射中心提取提供高效,準確的散射數(shù)據(jù)。論文深入研究了組合激勵方法,通過有限個組合激勵入射的方法,有效地壓縮了單站的入射角度個數(shù),加速單站計算速度。多層快速多極子方法加速了迭代求解中的矩矢相乘,將復雜度從O(N2)降低到O(NlogN),而壓縮感知技術可以通過有限個組合激勵入射,通過得到的解重構出原始電磁散射問題的解。所以,采用多層快速多極子方法與壓縮感知結合,使得電大目標多角度入射的單站問題得到了有效地解決。組合激勵的方法可以降低單站的入射角度個數(shù),為進一步降低壓縮感知的復雜度,本文采用了特征基函數(shù)技術,減少了基函數(shù)數(shù)目,提升了計算效率。組合激勵方法也成功用于特征基函數(shù)的構造,用以加速特征基函數(shù)的構造。論文還提出了將壓縮感知與高階矩量法相結合,來解決電大目標單站散射的快速計算。采用傳統(tǒng)的RWG基函數(shù),或是CRWG基函數(shù),一般選取1/10波長至1/8波長,高階矩量法是在大的剖分貼片上通過高階矢量基函數(shù)模擬實際電流,最大的剖分尺寸可以達到RWG基函數(shù)剖分尺寸的3倍,從而大大降低未知量數(shù)目,再通過壓縮感知技術降低單站的入射平面波的數(shù)目。這樣,本文將壓縮感知技術與高階矩量法相結合,用以降低單站散射求解時間,提高電磁計算效率。最后,基于壓縮感知技術與多層快速多極子方法相結合的方法,通過FFT成像算法實現(xiàn)了對典型雷達目標散射中心的快速提取。研究結果表明,本文方法在保證散射中心提取精度不下降的條件下,提升了提取效率。針對單頻點加速問題,計算效率最高可以提高28%,有效地降低了計算時間。
[Abstract]:Radar scattering center extraction is an important basic problem in the field of radar automatic target recognition. The accuracy and efficiency of scattering center extraction directly affect the accuracy and efficiency of target recognition. Therefore, the research on radar target scattering center extraction technology has become one of the important problems in the field of target recognition. In order to obtain reliable scattering data, a numerical method based on integral equation is used to solve the electromagnetic scattering problem. At the same time, the compressed sensing technology in information theory is applied to the fast calculation of unistatic scattering, which provides efficient and accurate scattering data for radar scattering center extraction. In this paper, the combined excitation method is deeply studied. Through the finite combined excitation incident method, the number of incident angles of a single station is effectively compressed and the calculation speed of a single station is accelerated. The multi-layer fast multipole method accelerates the moment vector multiplication in the iterative solution, reduces the complexity from O (N2) to O (NlogN), and the compression sensing technique can excite the incident through a limited number of combinations. The solution of the original electromagnetic scattering problem is reconstructed by the obtained solution. Therefore, the multi-layer fast multipole method and compressed sensing are used to solve the single-station problem of multi-angle incidence of large targets. The method of combined excitation can reduce the number of incident angles of a single station. in order to further reduce the complexity of compression perception, the eigenbasis function technique is used in this paper, which reduces the number of basis functions and improves the computational efficiency. The combined excitation method is also successfully applied to the construction of feature basis functions to accelerate the construction of feature basis functions. The paper also proposes a combination of compressed sensing and high-order moment method to solve the fast calculation of unistatic scattering of electrically large targets. Using the traditional RWG basis function or CRWG basis function, the 1 鈮，

本文編號：2492254