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Eigenvectors Method in Doppler Processing of Complex Signals

机译:复信号多普勒处理中的特征向量法

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Among tasks of radar processing of complex signals leading place is occupied with a problem of boosting of radar resolution capability in mesured parameters. To those carry the time-delay of the signal, carrying the information on range up to the purpose, and the doppler increment of the frequency, describing value of radial component rate of the target. Time-frequency compression of complex signals as it is noted in a number of sources [1 - 3], is usually carried out by means of the multichannel circuit representing a ruler of matched filters, each of which is tuned on a signal with certain doppler frequencies. Detune of next doppler channels makes some value ΔF_D determining resolution capability of system. As is known, resolution capability of the matched algorithms is defined by physical properties of signals (duration and effective width of a spectrum), and also operational properties of the equipment, and is rather limited. In this point of view actual becomes problems of searching ways to boost resolution capability on frequency and time-delay.
机译:在复杂信号的雷达处理任务中,领先的问题在于提高测量参数中雷达分辨率的能力。对于那些携带信号的时延,携带到目的范围的信息,以及频率的多普勒增量,描述目标的径向分量率的值。如在多个信号源[1-3]中所指出的,对复信号的时频压缩通常是通过代表匹配滤波器标尺的多通道电路来进行的,每个滤波器都以一定的多普勒频率对信号进行调谐频率。下一个多普勒信道的失谐使某个值ΔF_D决定了系统的分辨能力。众所周知,匹配算法的分辨能力由信号的物理特性(持续时间和频谱的有效宽度)以及设备的操作特性来定义,并且是相当有限的。从这一观点出发,实际成为寻找方法来提高频率和时间延迟的分辨能力的问题。

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