本文選題：平行因子　切入點(diǎn)：多目標(biāo)　出處：《西安電子科技大學(xué)》2015年碩士論文

【摘要】：多輸入多輸出(MIMO)雷達(dá)是一種新體制雷達(dá),它將MIMO技術(shù)引入雷達(dá)系統(tǒng),從而增加自由度并提高分辨率,具有廣寬的應(yīng)用前景。雙基地MIMO雷達(dá)系統(tǒng)既有雙基地雷達(dá)探測隱身目標(biāo)、隱蔽偵查等特點(diǎn),同時(shí)又能獲得MIMO技術(shù)帶來的優(yōu)勢。在雷達(dá)系統(tǒng)中多目標(biāo)角度和多普勒估計(jì)是探測目標(biāo)信息的重要一環(huán)。學(xué)者們通常采用對角度與多普勒分別估計(jì)并進(jìn)行配對的方法來實(shí)現(xiàn)多目標(biāo)參數(shù)估計(jì),然而多目標(biāo)情況下的參數(shù)配對問題較為復(fù)雜,不利于工程實(shí)踐。因此多目標(biāo)下雙基地MIMO雷達(dá)的角度和多普勒估計(jì)與配對問題受到了廣泛關(guān)注。在雙基地MIMO雷達(dá)系統(tǒng)中,傳統(tǒng)的MUSIC和Capon角度估計(jì)方法需進(jìn)行二維譜峰搜索,計(jì)算復(fù)雜度高,同時(shí)需要進(jìn)行角度多普勒配對。ESPRIT算法能夠?qū)崿F(xiàn)對目標(biāo)角度和多普勒同時(shí)估計(jì),但是在收發(fā)陣列均為線陣時(shí)只能得到雷達(dá)目標(biāo)的兩維角度信息,無法對目標(biāo)進(jìn)行三維空間定位。同時(shí)線陣在不同角度的測角精度不同,雙圓陣的提出解決了這個(gè)問題,但在發(fā)射接收均為雙圓陣情況下導(dǎo)向矢量并不具有旋轉(zhuǎn)不變性,傳統(tǒng)ESPRIT方法無法直接使用。本文針對在多目標(biāo)情況下雙基圓陣MIMO雷達(dá)的定位測速問題,提出了一種基于平行因子的雙基圓陣MIMO雷達(dá)角度與多普勒估計(jì)方法。該方法將得到的接收信號構(gòu)建為平行因子模型,利用COMFAC方法求解模型,同時(shí)根據(jù)該模型下求得的導(dǎo)向矢量的結(jié)構(gòu)特點(diǎn),最終估計(jì)出目標(biāo)的接收角度、發(fā)射角度和多普勒,進(jìn)而得到目標(biāo)位置與速度信息,該方法可以同時(shí)得到角度與多普勒五維信息,參數(shù)自動(dòng)配對,實(shí)現(xiàn)了多目標(biāo)在空間中三維定位和測速。本文推導(dǎo)了雙基圓陣MIMO雷達(dá)的多目標(biāo)角度、多普勒和定位精度的克拉美羅界,由于克拉美羅界是參數(shù)估計(jì)結(jié)果在理論上能夠達(dá)到的最低方差,反應(yīng)了是算法在理論上可以到達(dá)的最好的參數(shù)估計(jì)性能,故將其作為與本文所提算法的參數(shù)估計(jì)誤差分析的對比,利用計(jì)算機(jī)仿真實(shí)驗(yàn)對基于平行因子的雙基地MIMO雷達(dá)角度與多普勒聯(lián)合估計(jì)方法在不同信噪比、不同陣列尺寸情況下的性能進(jìn)行對比分析。通過對仿真結(jié)果的分析,本文方法在雙基圓陣MIMO雷達(dá)下可以實(shí)現(xiàn)角度多普勒五維參數(shù)估計(jì),能夠同時(shí)分辨多個(gè)目標(biāo),實(shí)現(xiàn)了多目標(biāo)情況下角度多普勒自動(dòng)配對,提高了定位與測速精度。
[Abstract]:Multiple-Input-Multiple-Output (Mimo) radar is a kind of new system radar. It introduces MIMO technology into radar system, thus increasing the degree of freedom and improving the resolution. The bistatic MIMO radar system has a wide application prospect. Bistatic MIMO radar system can detect stealth targets by bistatic radar. The characteristics of covert investigation, At the same time, the advantages of MIMO technology can be obtained. In radar system, multi-target angle and Doppler estimation is an important part of detecting target information. Method to realize multiobjective parameter estimation, However, the problem of parameter matching in the case of multi-target is more complex, which is not conducive to engineering practice. Therefore, the angle and Doppler estimation and pairing of bistatic MIMO radar in multi-target systems are paid more and more attention. Traditional MUSIC and Capon angle estimation methods need 2-D spectral peak search, which has high computational complexity. At the same time, it needs angle Doppler matching. Esprit algorithm can estimate the target angle and Doppler simultaneously. But when the transceiver array is linear, it can only get the two dimensional angle information of the radar target, so it can not locate the target in three dimensional space. At the same time, the angle accuracy of the linear array is different at different angles, so the double circle array can solve this problem. However, the steering vector is not rotation-invariant when the transmitting and receiving is double circular array, and the traditional ESPRIT method can not be used directly. In this paper, the localization and velocity measurement of double circular array MIMO radar under multi-target condition is studied. An angle and Doppler estimation method based on parallel factor for dual-base circular array MIMO radar is proposed in this paper. The received signal is constructed as a parallel factor model, and the model is solved by using the COMFAC method. At the same time, according to the structural characteristics of the guidance vector obtained under the model, the receiving angle, the transmitting angle and the Doppler of the target are estimated, and then the position and velocity information of the target are obtained. The method can obtain the five-dimensional information of the angle and the Doppler at the same time. In this paper, the multi-target angle, Doppler and Clemero boundary of the dual-base circular array MIMO radar are derived, and the parameters are automatically matched to realize the multi-target positioning and velocimetry in space, and the multi-target angle, Doppler and positioning accuracy of the dual-base circular array MIMO radar are derived. Because the Clemero bound is the lowest variance of the parameter estimation results in theory, it reflects the best parameter estimation performance that the algorithm can achieve in theory. Therefore, it is compared with the parameter estimation error analysis of the proposed algorithm, and the parallel factor based bistatic MIMO radar angle and Doppler joint estimation method is used in different signal-to-noise ratio (SNR) by computer simulation experiment. The performance of different array sizes is compared and analyzed. Through the analysis of simulation results, the method can estimate the five dimensional parameters of angle Doppler in double circular array MIMO radar, and can distinguish multiple targets at the same time. The automatic matching of angle Doppler is realized in the case of multiple targets, and the accuracy of positioning and velocity measurement is improved.
【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】：2015
【分類號】：TN958

【相似文獻(xiàn)】

相關(guān)會(huì)議論文 前1條

1 趙谷雨;;活塞梯形槽在基圓上寬度的檢測[A];科技創(chuàng)新與節(jié)能減排——吉林省第五屆科學(xué)技術(shù)學(xué)術(shù)年會(huì)論文集（上冊）[C];2008年

相關(guān)碩士學(xué)位論文 前1條

1 馬玉芳;基于平行因子的雙基圓陣MIMO雷達(dá)定位與測速方法研究[D];西安電子科技大學(xué);2015年

，

本文編號：1653355