本文選題：非圓信號(hào) + 時(shí)差估計(jì)�。� 參考：《電子科技大學(xué)》2014年博士論文

【摘要】：非圓信號(hào)是現(xiàn)代無(wú)線通信中常見的一種信號(hào)，例如AM、MASK、UQPSK、BPSK、MSK、GMSK和OQPSK信號(hào)。本文研究非圓信號(hào)的參數(shù)估計(jì)技術(shù)，包括非圓信號(hào)的TDOA估計(jì)、基于非相參陣列的非圓信號(hào)DOA估計(jì)、以及非圓信號(hào)的穩(wěn)健Capon波束形成。與圓信號(hào)情況下只利用信號(hào)的相關(guān)統(tǒng)計(jì)信息相比，，非圓信號(hào)參數(shù)估計(jì)研究的關(guān)鍵在于如何聯(lián)合利用信號(hào)的相關(guān)和共軛相關(guān)統(tǒng)計(jì)信息來(lái)提高參數(shù)估計(jì)的性能。本文的主要工作概括如下： 1.在高斯非圓復(fù)信號(hào)和高斯圓噪聲的模型下推導(dǎo)了TDOA估計(jì)的最大似然算法和CRB。與互相關(guān)和共軛互相關(guān)算法相比，最大似然算法更全面的利用了非圓信號(hào)的二階統(tǒng)計(jì)信息，因此在非圓信號(hào)情況下有更好的估計(jì)性能。同時(shí)，針對(duì)非圓信號(hào)提出了一種改進(jìn)傳統(tǒng)循環(huán)算法的方案，新方案可以同時(shí)利用信號(hào)的循環(huán)相關(guān)和共軛循環(huán)相關(guān)信息。 2.從信息論的角度出發(fā)，在高斯和拉普拉斯兩種實(shí)信號(hào)假設(shè)下對(duì)比了基于聯(lián)合熵和互信息兩個(gè)準(zhǔn)則的實(shí)信號(hào)TDOA估計(jì)算法。然后，在非圓高斯復(fù)信號(hào)和圓高斯復(fù)噪聲的模型下推導(dǎo)了基于互信息準(zhǔn)則的TDOA估計(jì)算法。 3.研究了基于非相參陣列的非圓信號(hào)漸進(jìn)最優(yōu)二階DOA估計(jì)算法。首先，在非圓高斯復(fù)信號(hào)和圓高斯噪聲的假設(shè)下推導(dǎo)了非相參陣列DOA估計(jì)的最大似然算法和閉式CRB。接著，提出了改進(jìn)的廣義最小二乘算法，此算法對(duì)高斯或非高斯圓信號(hào)都是漸進(jìn)最小方差的二階算法。隨后，提出了一種非圓信號(hào)的漸進(jìn)最小方差二階算法。 4.研究了非相參陣列的MUSIC類DOA估計(jì)算法，提出了只使用第一協(xié)方差矩陣的子陣加權(quán)MUSIC算法（w-MUSIC），并把w-MUSIC算法擴(kuò)展到非圓信號(hào)。同時(shí)，對(duì)比分析了w-MUSIC算法和文獻(xiàn)[85]中MUSIC算法的漸進(jìn)估計(jì)方差。 5.針對(duì)SOI和干擾信號(hào)都可能是非圓信號(hào)的情況提出了穩(wěn)健的自適應(yīng)波束形成方法NC-RCB。NC-RCB不但對(duì)陣列方向向量誤差和協(xié)方差矩陣估計(jì)誤差是穩(wěn)健的，同時(shí)對(duì)SOI非圓系數(shù)的估計(jì)誤差也是穩(wěn)健的。在SOI是非圓信號(hào)的情況下，NC-RCB與只利用第一協(xié)方差矩陣的穩(wěn)健Capon波束形成方法相比具有顯著的性能提升。
[Abstract]:Non-circular signal is a common signal in modern wireless communication, such as AMMASK / UQPSK / BPSK / MSK / GMSK and OQPSK signal. This paper studies the parameter estimation techniques of non-circular signals, including TDOA estimation of non-circular signals, DOA estimation of non-circular signals based on non-coherent arrays, and robust Capon beamforming of non-circular signals. Compared with only using the correlation statistics of the signal in the case of circular signal, the key of the parameter estimation of non-circular signal is how to combine the correlation and conjugate correlation statistics of the signal to improve the performance of the parameter estimation. The main work of this paper is summarized as follows: 1. Based on the model of Gao Si noncircular complex signal and Gao Si circular noise, the maximum likelihood algorithm and Gao Si estimation algorithm are derived. Compared with the cross-correlation and conjugate cross-correlation algorithms, the maximum likelihood algorithm makes full use of the second-order statistical information of the non-circular signal, so it has better estimation performance in the case of non-circular signal. At the same time, an improved algorithm for non-circular signals is proposed, which can make use of the cyclic correlation information and conjugate cyclic correlation information simultaneously. 2. From the viewpoint of information theory, the real signal estimation algorithms based on joint entropy and mutual information are compared under the assumption of Gao Si and Laplace. Then, under the models of non-circular Gao Si complex signal and circular Gao Si complex noise, the estimation algorithm based on mutual information criterion is derived. An asymptotic optimal second order DOA estimation algorithm for noncircular signals based on noncoherent arrays is studied. Firstly, under the assumption of non-circular Gao Si complex signal and circular Gao Si noise, the maximum likelihood algorithm and closed Gao Si estimation algorithm for noncoherent array DOA estimation are derived. Then, an improved generalized least squares algorithm is proposed, which is a second-order algorithm with asymptotic minimum variance for both Gao Si and non-Gao Si circular signals. Then, an asymptotic minimum variance second order algorithm for noncircular signals is proposed. 4. The music class DOA estimation algorithm for noncoherent arrays is studied. A subarray weighted music algorithm using only the first covariance matrix is proposed, and the w-MUSIC algorithm is extended to non-circular signals. At the same time, the asymptotic estimated variance of the w-MUSIC algorithm and the music algorithm in literature [85] are compared and analyzed. In this paper, a robust adaptive beamforming method NC-RCB.NC-RCB is proposed for the case that both SOI and interference signals may be non-circular signals. NC-RCB.NC-RCB is not only robust for array direction vector errors and covariance matrix estimation errors. At the same time, the estimation error of SOI noncircular coefficient is also robust. In the case of SOI non-circular signals, NC-RCB has a significant performance improvement compared with the robust Capon beamforming method using only the first covariance matrix.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN911.23

【共引文獻(xiàn)】

相關(guān)期刊論文 前1條

1 Fei Wen;Qun Wan;;Time Delay Estimation Based on Entropy Estimation[J];Journal of Electronic Science and Technology;2013年03期

相關(guān)博士學(xué)位論文 前1條

1 林晴晴;無(wú)源探測(cè)系統(tǒng)波達(dá)方向估計(jì)關(guān)鍵技術(shù)研究[D];哈爾濱工程大學(xué);2013年

相關(guān)碩士學(xué)位論文 前3條

1 周敏;數(shù)字通信信號(hào)制式自動(dòng)識(shí)別與參數(shù)估計(jì)算法研究與實(shí)現(xiàn)[D];西南交通大學(xué);2013年

2 張彥斌;高分辨率的DOA估計(jì)算法研究[D];武漢工程大學(xué);2013年

3 王冠男;單基地MIMO雷達(dá)相干分布式目標(biāo)角度估計(jì)方法[D];哈爾濱工程大學(xué);2013年

本文編號(hào)：2023239