發(fā)布時間：2018-08-24 11:15

【摘要】：基于高分辨距離像(HRRP)的目標(biāo)識別一直是雷達(dá)自動目標(biāo)識別領(lǐng)域的研究熱點,此前已有一些經(jīng)典的識別算法提出。基于目標(biāo)散射點模型,HRRP是目標(biāo)散射點子回波在徑向距離維的投影向量和,對于飛機(jī)類目標(biāo),由于強(qiáng)散射點具有稀疏分布的特點,其散射特性也主要由強(qiáng)散射點子回波決定,如果能將強(qiáng)散射點提取出來,將有利于目標(biāo)識別。然而,當(dāng)前利用HRRP的散射點進(jìn)行匹配識別的算法較少。本文的主要研究內(nèi)容是在目標(biāo)散射點模型和稀疏表示假設(shè)條件下,提取HRRP樣本中散射點的強(qiáng)度和位置信息,然后采用點匹配算法進(jìn)行分類識別,并在此基礎(chǔ)上實現(xiàn)了HRRP實時識別系統(tǒng)。本文的研究內(nèi)容概括如下:1.從雷達(dá)目標(biāo)散射點模型出發(fā)推導(dǎo)得出高分辨距離像回波的數(shù)學(xué)表達(dá)式,在稀疏表示的假設(shè)條件下利用正交匹配追蹤算法實現(xiàn)HRRP樣本的散射點提取和噪聲抑制。2.介紹了Hausdorff距離的基本定義,對提取的目標(biāo)HRRP樣本散射點集,采用基于Hausdorff距離的點匹配算法進(jìn)行分類識別,并進(jìn)一步提出一種噪聲穩(wěn)健的散射點匹配算法�；趯崪y數(shù)據(jù)的識別實驗證明了該算法的有效性。3.實現(xiàn)雷達(dá)目標(biāo)識別系統(tǒng)的設(shè)計開發(fā),該系統(tǒng)由主機(jī)和信號處理板組成,本文主要研究兩部分內(nèi)容:1)主機(jī)端界面軟件開發(fā),包括軟件開發(fā)環(huán)境的介紹,流程和框架設(shè)計,并在VC6.0編譯器中采用MFC和OpenGL實現(xiàn);2)信號處理板上的DSP識別程序,包括DSP程序開發(fā)的硬件資源介紹,算法實現(xiàn)以及程序優(yōu)化,最后在Visual DSP++編譯器中采用C語言實現(xiàn)。
[Abstract]:Target recognition based on high resolution range profile (HRRP) has been a hot topic in the field of radar automatic target recognition. Based on the scattering point model, HRRP is the projection vector sum of the radial distance dimension of the target scattering point echo. For aircraft targets, the scattering characteristics are mainly determined by the strong scattering point echo because of the sparse distribution of the strong scattering points. If strong scattering points can be extracted, it will be advantageous to target recognition. However, there are few algorithms to match and identify the scattering points of HRRP. The main research content of this paper is to extract the intensity and position information of scattering points in HRRP samples under the condition of target scattering point model and sparse representation hypothesis, and then use point matching algorithm to classify and identify. On this basis, the HRRP real-time recognition system is realized. The research contents of this paper are summarized as follows: 1. The mathematical expression of high resolution range echo is derived from the scattering point model of radar target. Under the assumption of sparse representation, orthogonal matching tracking algorithm is used to extract the scattering points of HRRP samples and to suppress the noise. In this paper, the basic definition of Hausdorff distance is introduced. The point matching algorithm based on Hausdorff distance is used to classify the scattered point set of target HRRP samples, and a noise robust scatter point matching algorithm is proposed. The recognition experiment based on the measured data proves the effectiveness of the algorithm. 3. 3. The design and development of radar target recognition system is realized. The system is composed of host computer and signal processing board. This paper mainly studies the software development of host interface in two parts: 1), including the introduction of software development environment, flow chart and frame design. The DSP recognition program on the signal processing board is implemented by MFC and OpenGL in the VC6.0 compiler, including the introduction of hardware resources, algorithm implementation and program optimization of DSP program development. Finally, C language is used in the Visual DSP compiler.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN957.52

【參考文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 張奔;基于高分辨距離像的目標(biāo)識別算法和演示系統(tǒng)設(shè)計研究[D];西安電子科技大學(xué);2011年

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本文編號：2200650