多位置抗噪雷达中目标坐标估计算法的优化

Volodymyr-Myron Miskiv, I. Prudyus, S. Fabirovskyy, V. Oborzhytskyy
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引用次数: 0

摘要

本文研究了多位置雷达系统中各雷达站对被控目标距离测量不明确的情况下距离测量不明确的公开方法和算法优化问题。这一特性是由使用调制码二进制序列来保密和抗噪声决定的。通过最优性准则,在求解整型歧义披露任务时,接受可能选择选项的数量最小化。本文提出了一种不依赖于多位置系统中雷达站数量的实现复杂度的方法和算法。结果表明,随着系统中雷达站数量的增加,正确披露模糊度的概率增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Algorithm for Estimating the Object Coordinates in a Multipositional Noise-immunity Radar System
In the article the problem of the method and algorithm optimization for the disclosure of the ambiguity of distance measurements in a multiposition radar system under the condition of ambiguous measurement of distance to the controlled object by each of the radar stations of this system is considered. This feature is determined by the use of modulating code binary sequences for secrecy and noise immunity. By criterion of optimality accepted the number minimization of possible options for selection when solving an integer task of ambiguity disclosure. A method and an algorithm are presented, the complexity of which in implementation does not depend on the number of radar stations in a multiposition system. It is shown that the probability of correct disclosure of ambiguity increases with an increase in the number of radar stations in the system.
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