【摘要】：發(fā)射源定位在電子戰(zhàn)中占據(jù)著重要的地位,在日益復(fù)雜的電磁環(huán)境下,電子戰(zhàn)爭的加劇對(duì)定位精度的要求越來越高。傳統(tǒng)的目標(biāo)定位技術(shù)遠(yuǎn)遠(yuǎn)達(dá)不到日益增長的需要,采用大數(shù)據(jù)的信號(hào)級(jí)直接定位技術(shù)由于精度高,魯棒性強(qiáng)等特點(diǎn)逐漸受到關(guān)注。對(duì)于非合作場景下的發(fā)射源無源定位,發(fā)射信號(hào)通常是未知的,現(xiàn)有直接定位技術(shù)忽略了發(fā)射信號(hào)的波形信息,沒有考慮可以利用在雷達(dá)偵察及信號(hào)預(yù)處理過程中已知的先驗(yàn)信息來估計(jì)出發(fā)射信號(hào),從而使用更多的信號(hào)信息來幫助提高定位精度。因此,在無源定位中,信號(hào)級(jí)直接定位技術(shù)的研究還不夠充分,更多提高定位精度的方法應(yīng)該被挖掘。本文圍繞多基站雷達(dá)系統(tǒng)下發(fā)射源無源定位的問題,研究了基于發(fā)射信號(hào)估計(jì)的信號(hào)級(jí)直接定位方法,并提出了一些有效的解決思路和算法,其主要工作內(nèi)容具體如下:1.針對(duì)多基站雷達(dá)系統(tǒng)下的無源定位問題,研究了基于到達(dá)時(shí)差的數(shù)據(jù)級(jí)定位方法和基于最大似然估計(jì)或最小二乘估計(jì)的信號(hào)級(jí)直接定位方法,并對(duì)兩種算法進(jìn)行了仿真分析。2.針對(duì)非合作場景下發(fā)射信號(hào)參數(shù)未知的這一問題,提出了一種基于短時(shí)傅里葉變換的聯(lián)合估計(jì)信號(hào)參數(shù)和發(fā)射機(jī)位置的信號(hào)級(jí)直接定位算法。3.針對(duì)發(fā)射信號(hào)模型未知或發(fā)射信號(hào)不可參數(shù)表征的情況,采用非參數(shù)化的估計(jì)方法,結(jié)合主成分分析,提出聯(lián)合估計(jì)發(fā)射信號(hào)波形和目標(biāo)位置的信號(hào)級(jí)直接定位算法。通過計(jì)算機(jī)仿真驗(yàn)證了以上提出的多個(gè)算法,并對(duì)比分析了本文提出的基于信號(hào)估計(jì)的信號(hào)級(jí)直接定位算法的性能,結(jié)果表明,本文提出的算法相比同種情況下的原有信號(hào)級(jí)直接定位算法有極大的優(yōu)勢(shì)。
[Abstract]:Emitter location plays an important role in electronic warfare. In the increasingly complex electromagnetic environment, the requirements of positioning accuracy are becoming higher and higher due to the intensification of electronic warfare. The traditional target positioning technology is far from reaching the increasing demand. Because of its high precision and strong robustness, big data's signal-level direct positioning technology has been paid more and more attention. For passive location of emission source in non-cooperative scenario, the transmitted signal is usually unknown, and the existing direct location technology ignores the waveform information of the transmitted signal. The prior information known in radar reconnaissance and signal preprocessing can be used to estimate the transmitted signal without considering that more signal information can be used to improve the positioning accuracy. Therefore, in passive location, the research of signal level direct location technology is not enough, more methods to improve the positioning accuracy should be excavated. Focusing on the problem of passive location of transmit source in multi-base station radar system, this paper studies the direct localization method of signal level based on transmit signal estimation, and puts forward some effective solutions and algorithms. The main work of this paper is as follows: 1. In order to solve the problem of passive location in multi-base station radar systems, a data-level localization method based on time-of-arrival (TDOA) and a signal-level direct localization method based on maximum likelihood estimation or least square estimation are studied. The two algorithms are simulated and analyzed. 2. In order to solve the problem of unknown parameters of transmitted signals in non-cooperative scenarios, a joint estimation of signal parameters and transmitter location based on short-time Fourier transform is proposed. Aiming at the condition that the transmission signal model is unknown or the transmitted signal can not be parameterized, a signal level direct location algorithm for joint estimation of transmitted signal waveform and target location is proposed by using nonparametric estimation method and principal component analysis (PCA). Several algorithms are verified by computer simulation, and the performance of signal level direct location algorithm based on signal estimation is compared and analyzed. The results show that, The proposed algorithm has a great advantage over the original signal level direct location algorithm in the same situation.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN95

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 王帆;柯煒;;一種基于RBF神經(jīng)網(wǎng)絡(luò)輔助的直接定位新方法[J];南京師范大學(xué)學(xué)報(bào)(工程技術(shù)版);2011年02期

2 賈高偉;常文革;;分布式雷達(dá)空間目標(biāo)定位系統(tǒng)性能分析[J];雷達(dá)科學(xué)與技術(shù);2010年03期

，

本文編號(hào)：2353724