發(fā)布時(shí)間：2017-12-28 01:14

  本文關(guān)鍵詞：高頻地波雷達(dá)方位超分辨算法的研究　出處：《哈爾濱工業(yè)大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 高頻地波雷達(dá) 方位超分辨 AR循環(huán)外推 陣列誤差 校正補(bǔ)償

【摘要】：相比于傳統(tǒng)雷達(dá),高頻地波雷達(dá)擁有探測(cè)距離遠(yuǎn)、能提供大范圍的早期預(yù)警、預(yù)警時(shí)間遠(yuǎn)遠(yuǎn)超出普通雷達(dá)的獨(dú)特優(yōu)勢(shì),具有重要的國(guó)防、政治、軍事、經(jīng)濟(jì)價(jià)值。然而受海邊實(shí)際天線陣地大小的限制,接收陣列孔徑的長(zhǎng)度極為有限,導(dǎo)致高頻地波雷達(dá)的角度分辨率性能較差。本文主要針對(duì)理想陣列以及非理想陣列狀態(tài)下的高頻地波雷達(dá)的方位超分辨算法進(jìn)行研究。主要的工作內(nèi)容如下:1.對(duì)高頻地波雷達(dá)的接收信號(hào)工作原理進(jìn)行了理論分析,引出目標(biāo)方位信息的提取過(guò)程。對(duì)現(xiàn)有的幾種經(jīng)典的應(yīng)用比較廣泛的超分辨算法進(jìn)行性能分析和比較,同時(shí)用高頻地波雷達(dá)的實(shí)測(cè)數(shù)據(jù)驗(yàn)證了MUSIC算法的性能。2.針對(duì)高頻地波雷達(dá)的角度分辨率受限于陣列孔徑的問(wèn)題,而傳統(tǒng)的算法又很難突破這個(gè)瑞利限,基于此,本文提出了一種新的外推模型—AR循環(huán)外推,來(lái)解決這個(gè)問(wèn)題。該方法通過(guò)采用改進(jìn)的AR循環(huán)外推模型增加接收數(shù)據(jù)長(zhǎng)度的方法來(lái)虛擬增加陣列孔徑從而實(shí)現(xiàn)超分辨。相比于傳統(tǒng)的超分辨算法,該模型能對(duì)單快拍下的接收回波數(shù)據(jù)進(jìn)行合理外推,不僅提高了單快拍下的測(cè)角精度,還提高了角度分辨率。計(jì)算機(jī)仿真試驗(yàn)以及采用雷達(dá)的實(shí)測(cè)數(shù)據(jù)仿真都驗(yàn)證了該模型的有效性。3.以上討論的超分辨算法都是在理想陣列流型下,即陣列不存在誤差,陣列的導(dǎo)向矢量精確已知的前提下實(shí)現(xiàn)的,然而在實(shí)際應(yīng)用中,不可避免會(huì)出現(xiàn)陣列誤差,所以需要對(duì)非理想陣列狀態(tài)下的DOA估計(jì)性能進(jìn)行分析。給出了陣列響應(yīng)誤差的模型,對(duì)誤差的影響進(jìn)行了理論和仿真分析。對(duì)陣列響應(yīng)誤差的三種典型校正算法進(jìn)行了性能比較,基于種種原因,高頻地波雷達(dá)系統(tǒng)常常采用自校正技術(shù),針對(duì)傳統(tǒng)的自校正技術(shù)存在的缺陷,提出了一種組合算法。該算法采用基于協(xié)方差矩陣的無(wú)源校正算法與迭代法相結(jié)合,將前者的估計(jì)值作為自校正的初始值,然后進(jìn)行迭代,直至收斂。先用初值預(yù)處理后的迭代法對(duì)陣列的幅相誤差進(jìn)行校正補(bǔ)償,然后再利用改進(jìn)的AR-MUSIC算法提高高頻地波雷達(dá)的方位分辨率。計(jì)算機(jī)仿真實(shí)驗(yàn)驗(yàn)證了該方法的有效性。
[Abstract]:Compared with the traditional radar, HF ground wave radar has the advantages of wide detection range and wide range of early warning and warning time, which is far beyond the ordinary radar. It has important national defense, political, military and economic values. However, limited by the size of the actual antenna position by the sea, the length of the received array aperture is very limited, which leads to the poor angular resolution performance of the high frequency ground wave radar. This paper mainly studies the azimuth superresolution algorithm of high frequency ground wave radar under the state of the ideal array and the state of the non ideal array. The main contents are as follows: 1. the principle of the receiving signal of high frequency ground wave radar is analyzed theoretically, and the extraction process of target orientation information is brought out. The performance of several classic super-resolution algorithms is analyzed and compared. At the same time, the performance of MUSIC algorithm is verified by the measured data of HF ground wave radar. 2., the angle resolution of HF ground wave radar is limited by the aperture of the array, and the traditional algorithm is hard to break through the Rayleigh limit. Based on this, a new extrapolation model, AR cycle extrapolation, is proposed to solve this problem. In this method, an improved AR loop extrapolation model is used to increase the length of the received data to virtual increase the aperture of the array to achieve superresolution. Compared to the traditional super-resolution algorithm, the model can receive the echo data of a single snapshot of the reasonable extrapolation, not only improves the accuracy of single snapshot, but also improve the angle resolution. The effectiveness of the model is verified by the computer simulation test and the simulation of the measured data using radar. 3. super resolution algorithms discussed above are in the ideal array manifold, i.e. there are no array errors, the premise of the steering vector of the array to achieve precisely known, but in practical application, inevitably there will be error of the array, so the need for a non ideal array under the condition of DOA estimation performance analysis. The model of array response error is given, and the influence of the error is analyzed theoretically and simulated. The performance of three typical correction algorithms for array response error is compared. For various reasons, self correcting technology is often adopted in HF ground wave radar system, aiming at the shortcomings of traditional self-tuning technology, a combinatorial algorithm is proposed. The algorithm combines the passive correction algorithm based on covariance matrix with the iterative method, and takes the estimated value of the former as the initial value of self-tuning, and then iterates until convergence. The amplitude and phase errors of array are corrected and compensated by the iterative method after the initial value is preprocessed, then the azimuth resolution of HF ground wave radar is improved by using the improved AR-MUSIC algorithm. The effectiveness of the method is verified by computer simulation experiments.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN958

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本文編號(hào)：1343968