The main studied topic of spatial spectrum estimation is the direction of arrival (DOA) of spatial signals.
对信号波达方向(doa)的估计是空间谱估计研究的主题。
The main purpose of spatial spectrum estimation is to estimate the parameters and source bearing of spatial signals using spatially displaced sensor arrays.
空间谱估计的主要目的是利用空间多传感器所构成的阵列对空间分布信号的参数和信源位置进行估计。
The new concept can also be used to modify other spatial spectrum estimation algorithms such as spatial smooth algorithm used for dealing with coherent sources.
算法的思想同样适用于空间平滑等各种抗相干源算法。
The performance of the high resolution DF technique based on the spatial spectrum estimation, will be severely suffered with sensor gain and phase uncertainties.
基于空间谱估计的高分辨测向技术，在天线阵各通道的增益和相位未知时，其性能往往低于传统的测向技术。
Spatial spectrum estimation technique is a new direction-of-arrival estimation technique based on multielement array and modern digital signal processing theory.
空间谱估计测向是一种以多元天线阵结合现代数字信号处理为基础的新型测向技术。
In the researches of direction-of-arrival (DOA) of the radar signal, the spatial spectrum estimation based on the array signal process is a usual and pervasive method.
在对雷达信号的到达角估计研究中，在阵列信号处理的基础上应用空间谱估计方法是当前较为普遍而常见的处理方式。
The basic principle of some spatial spectrum estimation algorithm such as MUSIC, ESPRIT was described at the beginning, and their performance was analyzed and compared.
本文首先介绍了MUSIC,ESPRIT等经典空间谱估计算法的基本原理，并进行了性能分析和比较。
The second is the measurement of arrival direction for radio signals, which is to monitor the spatial distribution of radio energy, which is often called spatial spectrum estimation.
第二是对无线电信号来波方向的测量，即是要对无线电信号能量在空间的分布进行监测，这就是所谓的空间谱估计技术。
Spatial spectrum estimation is an important area in array signal processing, which is widely used in radar, communication, sonar, earthquake, chronometer and other aspects of science and technology.
空间谱估计是阵列信号处理的一个重要分支，近年来在雷达、通信、声纳、地震、射线天文等科技领域取得了极为广泛的应用。
In this paper, the DOA estimation is implemented by spatial frequency spectrum analysis.
本文从空间频谱分析的角度来实现这一估计。
The adaptive estimation method is presented for the MUSIC joint spectrum in polarizational and spatial domains.
研究了极化域-空域联合谱的动态更新问题，给出了MUSIC联合谱的自适应递推估计算法。
The model of array signal is described first, and then the principle of 2-D spatial-temporal spectrum estimation is analyzed.
文中首先介绍了阵列信号模型，分析了空时二维谱估计的原理。
The model of array signal is described first, and then the principle of 2-D spatial-temporal spectrum estimation is analyzed.
文中首先介绍了阵列信号模型，分析了空时二维谱估计的原理。
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