基于子空间分解的波达方向估计算法研究-计算机应用技术专业论文.docx

ABSTRACTDirection ABSTRACT Direction of arrival(DOA)estimation technology originates from the development of spatial filtering and time domain spectrum estimation．Its performance in parameter estimation is superior,therefore，whose application prospect is broad，such radar,sonar,electronic countermeasures and wireless positioning technologies．It has currently become of the important research fields of array signal processing．The subspace decomposition algorithms，in many kinds of DOA estimation algorithms，estimate parameters based the output covariance matrix eigenvalue decomposition．Due to the algorithm achieve hiigh estimation precision and resolution；it is valued by many scholars． MUSIC(Multiple Signal Classification)algorithm implements flourish of the super resolution direction-finding technology．It promotes the development of subspace decomposition algorithm．ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques)algorithm is put forward，which is another significant progress in subspace decomposition algorithm．ESPRIT algorithm is mainly using the feature of signal subspace rotation invariance in DOA estimation，compared to MUSIC algorithm，which has small amount of calculation and without spectral peak searching．The above two algorithms are representative algorithms in subspace decomposition．The former is based noise subspace，while the later is based property of rotation invariant subspace．These two kinds of algorithm performance are superior compared with early DOA estimation algorithm，and they have excellent estimation precision and spatial resolution，many scholars has carried related technology research，improved algorithms of two algorithms emerge endlessly In this paper,the DOA estimate current algorithm based subspace decomposition was studied，and III 万方数据 the the characteristic of algorithms were analyzed．Those algorithms are improved the estimation precision and the amount of calculation．Thus two improved algorithms are presented in t