被动测向声纳中的波达方向估计研究具有重要的现实意义。
The research of DOA estimation in passive direction-finding sonar has important practice significance.
波达方向估计是利用天线阵元对空间信源的来波方向进行估计。
DOA (direction of arrival) estimation is realized by using antenna array to estimate the arrival direction of space signal source.
另外，也有必要考虑空间色噪声环境中的分布源波达方向估计问题。
It is necessary to analyze the effects of finite bandwidth to bearing estimation of spatially distributed source.
本论文就宽带阵列信号的波达方向估计（DOA）方法进行了研究。
This dissertation concentrates on the study of Direction-of-Arrival (DOA) for wideband signals.
较为详细地分析了智能天线中关于波达方向估计的MUSIC算法。
To direction finding on antenna array, this paper first discussed classical algorithm -music algorithm in space spectrum estimate.
提出了一种阵列天线MC - CD MA系统用户波达方向估计算法。
In this paper, a Direction of Arrival (DOA) estimation algorithm is proposed for uplink MC-CDMA system with antenna array.
通过理论分析，给出了波达方向估计的一致性证明和估计方差的计算公式。
Subsequently the estimation consistency is proved, and the estimation variance is derived theoretically.
提出一种基于双平行线阵有相干信号源存在情况下二维波达方向估计的新算法。
This paper presents a new method for estimating two dimensional Angle of arrival in the presence of coherent signal sources with two parallel linear array.
多途时延估计广泛的应用于目标定位，波达方向估计等领域，因此具有十分重要的意义。
Time delay estimation was widely used in many areas such as target localization, directions of arrival (DOA) estimation.
在水下多源探测与跟踪系统中，信号源数目估计不准确对波达方向估计以及整个系统性能会产生严重影响。
In an underwater multi-source detecting and tracking system, the incorrect estimation of source number will do bad effect on DOA estimation and the whole system.
通过构建空间时频分布矩阵，和传统的阵列信号处理方法相结合，从而得到一种新的时频域的波达方向估计方法。
It presents a new method of DOA estimation in time-frequency domain, via establishing the STFD matrix and combining the traditional methods of array.
基于互耦矩阵的特殊结构，给出了一种更具一般性的非均匀圆阵模型，提出了一种在未知互耦条件下的非均匀圆阵波达方向估计算法。
Based on the special structure of coupling matrix, a direction of arrival (DOA) estimation algorithm in the presence of unknown mutual coupling for the nonuniform circular array (NUCA) is presented.
现有的阵列校正算法几乎都没有考虑存在多径效应时的情况，对此提出了一种米波雷达低仰角环境下波达方向估计和阵列通道误差校正的新算法。
Most of the existing array calibration methods require a specific type or class of sources, and need some pre-knowledge of the sources parameters such as directions-of-arrival (DOA).
通过对相关矩阵进行特征值分解，估计信号子空间和噪声子空间，并利用MU S IC算法估计宽带LF M信号的波达方向。
Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
提出了一种未知相关噪声环境下，相干宽带源波达方向宽容估计算法。
A robust Direction of Arrival (DOA) estimation algorithm for coherent wideband sources in unknown correlated noise fields is investigated in this paper.
对信号波达方向(doa)的估计是空间谱估计研究的主题。
The main studied topic of spatial spectrum estimation is the direction of arrival (DOA) of spatial signals.
该算法是对传统MUSIC方法的推广与变形，克服了要求接收信号数小于阵元数的局限，能有效估计时延不同、波达方向相差很小的多径信号的参数。
The algorithm is a development of traditional MUSIC algorithm, so the number of multipath signals can be most of the array elements and can be used to estimate the parameters of multipath signals.
提出了解相关同步CD MA系统一种联合波达方向(DOA)估计与相位标定算法。
A joint direction of arrival (DOA) estimation and phase calibration for synchronous CDMA system with decorrelator are presented.
在未知阵列响应矢量的条件下，利用信号的多普勒信息，估计出期望信号的波达方向。
The Doppler frequency of signals was used to estimate the direction of arrival (DOA) of desired signal with unknown array response vector.
对四阶累量混合波达方向矩阵进行特征分解，可实现有色高斯噪声背景中空域信号二维空间谱估计。
We can estimate two dimensional spatial spectra of sources in colour Guassian noises by eigen decomposing the matrix.
本文提出了一种与传统算法完全不同的多个空间窄带信号波达方向的估计算法。
Anovel approach, which is totally different from the traditional methods, for estimating directions-of-arrival of multiple spatial narrow-band signals is presented in this paper.
提出一种在阵元通道增益不一致情况下多个空间窄带信号波达方向(doa)的快速估计算法。
A novel approach, which is totally different from the traditional methods, for estimating directions-of-arrival (DOA) of multiple spatial narrow-band signals is presented in this paper.
提出一种基于多级维纳滤波器(MSWF)的信号波达方向(DOA)估计算法。
A method of estimating Direction Arrival (DOA) based on Multistage Weiner Filtering (MSWF) is proposed.
这种数学模型的使用，大大提高了MUSIC算法对用户数估计的准确度和波达方向DOA估计的精度。
The use of this math mode improves the veracity of the MUSIC arithmetic in estimating the count of the user and the precision of the DOA estimate largely.
在均匀线阵存在误差的情况下，提出了一种信号波达方向和多普勒频率的估计方法。
An estimation method of direction of arrival (DoA) and Doppler frequency for signals in the presence of array errors is proposed.
利用信号子空间和噪声子空间正交性，可以实现超分辨波达方向(DOA)估计。
The orthogonality between the signal subspace and the noise subspace is widely employed to implement the Direction of Arrival (DOA) estimation.
利用信号子空间和噪声子空间正交性，可以实现超分辨波达方向(DOA)估计。
The orthogonality between the signal subspace and the noise subspace is widely employed to implement the Direction of Arrival (DOA) estimation.
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