In order to track the desired signal in stable, the sorting and identification processor should be built in the seeker.
为了能稳定地跟蹤上特定的雷达信号,必须在导引头中有分选和识别处理器。
The correlative coefficient between desired signal and interference affects the filtering performance strongly, which changes the direction of optimal interference.
期望信号和干扰信号相关性越强,阵列滤波性能差异越明显,且相关系数的相位影响着「最佳」干扰信号的空间到达角。
The switching function includes the integral of tracking error to avoid assuming that the derivative of desired signal must be known in conventional sliding mode variable structure control.
通过在切换函数中引入跟蹤误差积分项,消除了传统滑模变结构控制需要被跟蹤信号导数已知的假设。
To obtain clearer desired signal under multi-speaker environment, the time-frequency masking effect is used in post-processing of speech enhancement using blind source separation.
本文将时频掩蔽效应引入盲源分离语音增强系统中,给出一种基于时频掩蔽效应和盲源分离的语音增强方法,并将其与期望最大化方法进行了性能比较。
So using of the adaptive beamforming DLMS system can reach to the desired signal enhancement, for the purpose of nulling interference signals.
并且DLMS算法应用在自适应波束形成系统时,能达到使期望信号增强,同时将干扰信号抑制的目的。
The desired signal in the auxiliary antennas of guidance radar may cause Angle measurement error by using conventional adaptive sidelobe cancellation method.
制导雷达中若使用常规自适应旁瓣对消方法,辅助天线中的期望信号会引起测角误差。
An adaptive noise cancellation method is presented to extract desired signal from array cross talk signals, and is used to microphone array speech enhancement.
本文提出了一种针对阵列交叉串扰信号的自适应噪声抵消方法,并将其用于麦克风阵语音增强。
Signal filtering of PSA means suppressing interference and enhancing the desired signal, using the difference between desired signal and interference in spatial and polanzational domains.
极化敏感阵列信号滤波主要研究利用干扰信号与期望信号空域和极化域的特征差异抑制干扰、增强信号的问题。
In adaptive array, the desired signal is often correlated with the interference and the approach of spatial smoothing is often applied to suppress coherent interference.
在自适应阵中,理想信号经常和干扰信号相干,空间平滑法经常用来抑制相干干扰。
It is noted that the minimum mean square error (MMSE) detector often loses phase to lock a desired signal when the desired signal dips into a deep fade.
在实际通信系统中当信号处于深衰落时,最小均方误差(MMSE)检测器经常失去对信号的相位跟蹤。
The Doppler frequency of signals was used to estimate the direction of arrival (DOA) of desired signal with unknown array response vector.
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。