基于功率測量的單天線測向技術(shù)的研究
發(fā)布時(shí)間:2019-01-23 18:12
【摘要】:無線電測向是根據(jù)電磁波傳播特性及天線輻射的方向性,對天線系統(tǒng)接收到的來波信號進(jìn)行處理以達(dá)到估計(jì)信號源的到達(dá)方向(Direction of Arrival,DOA)的過程。DOA估計(jì)一直是信號處理中研究的熱點(diǎn),其中具備高分辨力的多重信號分類(Multiple Signal Classification,MUSIC)算法更是一經(jīng)提出便備受關(guān)注。但由于MUSIC需要多接收天線、多通道接收機(jī)且本身算法較復(fù)雜,需要不斷地進(jìn)行譜搜索來實(shí)現(xiàn)DOA估計(jì),這使得其在實(shí)際運(yùn)用中受到一定限制。單天線測向是除陣列天線測向之外的一種便捷的無線電測向技術(shù)。本文研究基于功率測量的單天線測向方法,將天線功率方向性建模為有限項(xiàng)加權(quán)復(fù)指數(shù)之和,利用接收天線指向不同方向時(shí)接收到的信號功率數(shù)據(jù),將問題轉(zhuǎn)化為參數(shù)譜估計(jì)問題,進(jìn)而利用零化濾波器(Annihilating Filter)方法求得波達(dá)方向的估計(jì)。針對一個(gè)和多個(gè)不相關(guān)遠(yuǎn)場來波信號源的DOA估計(jì),主要進(jìn)行了以下研究工作:1.在理想條件下和噪聲情形中,分別通過仿真驗(yàn)證基于功率測量的單天線測向方法對一個(gè)和多個(gè)來波信號方向估計(jì)的效果。2.通過仿真結(jié)果分析影響基于功率測量的單天線測向方法對DOA估計(jì)效果的因素,包括噪聲相對強(qiáng)度、天線波束寬度、功率樣本數(shù)、信號的到達(dá)角度間隔及信號源個(gè)數(shù)等。3.在已有方法的基礎(chǔ)之上給出一種改進(jìn)的測向方案,并通過仿真比較改進(jìn)的方法和原方法的估計(jì)性能。4.實(shí)際搭建基于該方法的信號發(fā)射和接收環(huán)境,將研究的方法運(yùn)用于實(shí)測數(shù)據(jù)的處理,驗(yàn)證該測向方法的實(shí)際可行性。
[Abstract]:Radio direction finding is based on the characteristics of electromagnetic wave propagation and the directionality of antenna radiation, processing the incoming wave signal received by antenna system in order to estimate the direction of arrival of the signal source (Direction of Arrival, The process of DOA). DOA estimation has been a hot topic in signal processing, and the high resolution multi-signal classification (Multiple Signal Classification,MUSIC) algorithm has attracted much attention once it has been proposed. However, because MUSIC needs multi-receiving antennas and multi-channel receiver and its own algorithm is complex, it needs to continuously carry out spectrum search to realize DOA estimation, which makes it limited in practical application. Single antenna direction finding is a convenient radio direction finding technique except array antenna. In this paper, the single antenna direction-finding method based on power measurement is studied. The antenna power directivity is modeled as the sum of finite weighted complex exponents, and the received signal power data is obtained when the receiving antenna points in different directions. The problem is transformed into the parameter spectrum estimation problem, and then the estimation of the DOA is obtained by using the (Annihilating Filter) method of the zero filter. For the DOA estimation of one or more uncorrelated far field signal sources, the following research work is done: 1. In the ideal condition and the noise case, the effect of the single antenna direction finding method based on power measurement on the direction estimation of one or more incoming signals is verified by simulation. 2. Through the simulation results, the factors that affect the DOA estimation effect of single antenna direction finding method based on power measurement are analyzed, including relative intensity of noise, antenna beam width, power sample number, signal arrival angle interval and number of signal sources, etc. Based on the existing methods, an improved direction finding scheme is presented, and the performance of the improved method and the original method is compared by simulation. 4. The signal transmitting and receiving environment based on this method is built in practice. The research method is applied to the processing of the measured data to verify the feasibility of the direction finding method.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN820
本文編號:2414075
[Abstract]:Radio direction finding is based on the characteristics of electromagnetic wave propagation and the directionality of antenna radiation, processing the incoming wave signal received by antenna system in order to estimate the direction of arrival of the signal source (Direction of Arrival, The process of DOA). DOA estimation has been a hot topic in signal processing, and the high resolution multi-signal classification (Multiple Signal Classification,MUSIC) algorithm has attracted much attention once it has been proposed. However, because MUSIC needs multi-receiving antennas and multi-channel receiver and its own algorithm is complex, it needs to continuously carry out spectrum search to realize DOA estimation, which makes it limited in practical application. Single antenna direction finding is a convenient radio direction finding technique except array antenna. In this paper, the single antenna direction-finding method based on power measurement is studied. The antenna power directivity is modeled as the sum of finite weighted complex exponents, and the received signal power data is obtained when the receiving antenna points in different directions. The problem is transformed into the parameter spectrum estimation problem, and then the estimation of the DOA is obtained by using the (Annihilating Filter) method of the zero filter. For the DOA estimation of one or more uncorrelated far field signal sources, the following research work is done: 1. In the ideal condition and the noise case, the effect of the single antenna direction finding method based on power measurement on the direction estimation of one or more incoming signals is verified by simulation. 2. Through the simulation results, the factors that affect the DOA estimation effect of single antenna direction finding method based on power measurement are analyzed, including relative intensity of noise, antenna beam width, power sample number, signal arrival angle interval and number of signal sources, etc. Based on the existing methods, an improved direction finding scheme is presented, and the performance of the improved method and the original method is compared by simulation. 4. The signal transmitting and receiving environment based on this method is built in practice. The research method is applied to the processing of the measured data to verify the feasibility of the direction finding method.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN820
【參考文獻(xiàn)】
相關(guān)碩士學(xué)位論文 前2條
1 蒲剛;平行基線解模糊干涉儀測向算法及實(shí)現(xiàn)[D];電子科技大學(xué);2013年
2 常城;基于均勻圓陣的DOA估計(jì)及其FPGA實(shí)現(xiàn)[D];電子科技大學(xué);2013年
,本文編號:2414075
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