宽带波束域处理是实现水下目标高分辨方位估计的重要途径。
The broadband beam space high resolution processing possesses lower resolution threshold and better performance than the element space processing.
本文针对水声设备的实际应用，研究了波束域高分辨方位估计的MUSIC方法。
This paper studies beam-space MUSIC for direction-of-arrival estimation of underwater targets.
针对水下宽带处理的应用，研究了宽带高分辨方位估计的相干信号子空间处理方法(CSS)。
Aiming at the application of underwater wide band processing, coherent signal-subspace processing method (CSS) for high resolution DOA estimation of under water wide band sources was studied.
恒定束宽波束域噪声是空间相关的非白噪声，这给宽带波束域高分辨方位估计方法的性能带来影响。
The noise in constant beam-width beam space is spatial correlative and color (non white), which affects the performance of wide-band-beam-space high resolution DOA (Direction of Arrival) estimator.
子空间类方法、ESPRIT和WSF是几种典型的高分辨方位估计方法，它们具有良好的统计性能。
These estimators include the signal subspace methods, ESPRIT and WSF. They possess good statistical performance.
深入分析了波束域高分辨方位估计性能，捉出了一种基于均匀线列阵的密集波束域MUSIC（DBMUSIC）法。
The performance of beamspace high-resolution direction-of-arrival (DOA) estimation is analyzed. A dense beamspace MUSIC (DBMUSIC) algorithm for the uniform linear array (ULA) is proposed.
进行了新方法、原贝叶斯高分辨方位估计方法与多重信号特征法（MUSIC）和极大似然估计法（MLE）的性能比较研究，揭示了新方法的优越性。
The new method and original Bayesian high-resolution DOA estimator are compared with other typical methods like MUSIC and MLE, and the superiority of the new method is revealed.
文中应用宽带阵增益分析研究了宽带波束域高分辨估计方法的统计性能，通过仿真计算了宽带阵增益和宽带波束域高分辨方法方位估计误差。
The statistical performance of the broadband beam space high resolution algorithm is studied by using the broadband array gain analysis of multiple beam system.
文中应用宽带阵增益分析研究了宽带波束域高分辨估计方法的统计性能，通过仿真计算了宽带阵增益和宽带波束域高分辨方法方位估计误差。
The statistical performance of the broadband beam space high resolution algorithm is studied by using the broadband array gain analysis of multiple beam system.
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