Modified MUSIC algorithm is applied to DOA estimation, arranging array symmetrically is designed.
提出了利用修正MUSIC算法进行DOA估计，并设计了对称布阵方式。
When we use the matrix to form an algorithm, it can estimate more sources than classical MUSIC algorithm.
当完全使用这个矩阵，可估计比经典MUSIC法更多的源信号的参数。
The unitary MUSIC algorithm can reduce the computational complexity, improve the performance of bearing estimates.
酉MUSIC算法可以降低计算复杂度，提高方位估计性能。
This algorithm can achieve high frequency resolution and reduce the search range of MUSIC algorithm's spectral peak.
该算法可得到较高的频率分辨率，并减少了MUSIC算法的谱峰搜索范围。
At the same time, the MUSIC algorithm is replaced by the propagator method, which can reduce computational burden further.
同时利用窄带传播算子方法替代MUSIC算法，进一步减少了聚焦后测向的计算量。
A new direction-finding MUSIC algorithm based on virtual array transformation is proposed to extract the coherent sources.
提出一种基于虚拟阵列变换方法的解相干信号的MUSIC算法。
Based on MUSIC algorithm, a mathematical model of two-dimensional DOA estimation on an arbitrary plane array is established.
文中在MU S IC算法的基础上，建立了平面任意形状阵列二维超分辨测向的数学模型及通用算法。
In the algorithm, the propagation delays and the angles of multipath are firstly estimated by a modified TST-MUSIC algorithm.
该方法首先通过修正后的TST - MUSIC算法估计多径的传播时延和角度。
To direction finding on antenna array, this paper first discussed classical algorithm -music algorithm in space spectrum estimate.
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。
Then the 2d-music algorithm of uniform circular array was presented, which can estimate the DOA of multiple non-coherent emitters.
给出了均匀圆形阵列结构下的二维music算法，该算法能对非相干的多辐射源到达角进行估计。
A novel spectral correlation conjugate cyclic MUSIC algorithm based on minimum redundancy linear array (MRLA) is proposed in this paper.
本文提出了一种基于最小冗余线阵的谱相关共轭循环music算法。
Simulation results prove that, if the error is compensated by using the new method, signal DOAs can be accurately estimated using MUSIC algorithm.
计算机模拟结果表明，采用该方法完成误差校正后，用MUSIC算法能实现对信号DOA较为准确的估计。
The combined effects of mutual coupling and amplitude-phase errors have negative impact on the direction-finding performance of the MUSIC algorithm.
针对幅相误差是制约声纳基阵性能的重要因素，建立存在幅相误差的均匀线列阵模型，进而提出统计计算与计算机仿真相结合的方法。
We not only analyse performance of MUSIC algorithm and 1-d noise subspace algorithm but also investigate the effect of multipath on these two algorithms.
分析了MUSIC算法和一维噪声子空间算法的性能，研究了多径衰落对这两种算法的影响。
The general MUSIC algorithm is a super-resolution algorithm that can handle coherent signals, so it can be used in the height-finding of meter-wave radar.
由于广义MUSIC算法为能直接处理相干信号的阵列超分辨算法，因此可以将该算法应用于米波雷达测高当中。
The spatial spectrum technique based on MUSIC algorithm is mainly discussed as well as its application in the vehicle-carried direction-finding system of UAV.
介绍了一种基于MUSIC算法的空间谱估计技术，对其算法原理与过程进行了详细分析，并给出了它在车载无人机测向系统中的应用。
In this paper, the DOA of sources are estimated using MUSIC algorithm by a vector-hydrophone ULA (Uniform Linear Array) to improve the DOA estimation resolution.
本文采用矢量水听器均匀线阵研究了利用MUSIC算法对声源进行方位估计，以提高对源方位的估计精度。
Based on the study of beam space high resolution MUSIC algorithm, we expand the element space weighted subspace fitting (WSF) algorithm into beam space in this paper.
在研究波束域高分辨MUSIC算法的基础上，本文把阵元域WSF算法推广到波束域中。
For the application of underwater acoustic systems, we present two algorithms in detail: MUSIC algorithm based on the eigenvalue decomposition and least square method.
针对水下声系统的应用背景，详细介绍了两种时延估计算法：基于特征值分解的MUSIC算法和基于最小二乘法的时延估计算法。
This paper gives a general fourth order cumulant matrix which conforms with the structure of MUSIC algorithm. Therefore we can estimate the direction of arrival (DOA).
用四阶累积量构造了一个较通用的累积量矩阵，该矩阵符合MU- SIC算法的结构，从而可进行波达方向(DOA)估计。
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.
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。
This paper defines the mean SNR's resolving threshold which can measure the resolving performance of MUSIC algorithm, and deduces the expression of the resolving threshold.
该文首先定义了用以度量MUSIC算法分辨性能的平均信噪比分辨门限，并给出它的表达式。
The FFT algorithm is used in space signal processing and the rapid DoA estimation algorithms are studied, then a rapid MUSIC algorithm based on space partition is proposed.
针对前向竞争网和空间分割竞争网在识别分类和学习中存在的局限性，提出用软边界处理改进空间分割竞争网的训练方法。
In this paper, we analysed and studied the inaccuracy factors of DOA estimation on MUSIC algorithm and discussed the estimation performances and features of MUSIC algorithm.
通过对MUSIC算法中影响DOA估计的误差因素进行分析和研究，讨论MUSIC算法的估计性能。
The theory analysis and simulation results demonstrate that, to the non-correlation signal, MUSIC algorithm is also an effective method for the measure of target direction angle.
理论分析和仿真结果表明，对非相关或相干信号，MUSIC算法是一种有效的测量目标方位角的方法。
However, DOA Matrix method avoids seeking the peak of the spectrum. Consequently, even the estimating efficiency of 2-d DOA Matrix method is much better than 1-d MUSIC algorithm.
DOA矩阵法则避免了MUSIC法的谱峰角度搜索，因此即使是二维的DOA矩阵法，其估算速度也比一维MUSIC算法快。
The high accuracy and high resolution MUSIC algorithm is utilized in this method by means of accurate detecting direction to realize precise location. Iis performances is analyzed and simulated.
该方法采用了高精度、高分辨率的MU SIC测向算法，通过精确测向来实现精确定位，并对其性能进行了具体的分析和仿真计算。
At last, experiments are carried out in a water tank. Experimental results show that the beam-space MUSIC algorithm has high resolution ability and can bear preferably with array modeling errors.
进行了消声水池实验，结果表明波束域高分辨MUSIC法分辨力高，对阵列误差具有较大的宽容性。
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.
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。
Algorithmic music composition is the application of a rigid, well-defined algorithm to the process of composing music.
算法作曲将严格的、定义良好的算法应用到作曲过程中。
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