Estimation of Coded Antijam Performance with Nonlinear Processing

C. Cahn
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Abstract

The utility of the Chernoff bound developed by Omura and Levitt for evaluating antijam performance of coded spread-spectrum systems is enhanced by a Monte Carlo estimation procedure which has some similarity to an adaptive algorithm. The applicability of this new procedure to obtaining numerical results is illustrated for frequency-hopping spread-spectrum systems with nonlinear processing to protect against partial band jamming strategies. In particular, power normalization and clipping algorithms which do not depend on AGC averaging in the receiver can be defined and evaluated without necessity for actual decoder simulations and despite difficulty of analytical approaches when such nonlinear processing schemes are employed. Representative results indicate that satisfactory protection can be achieved against partial-band jamming, in the sense that the worst case is not significantly degraded from that of white Gaussian noise.
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基于非线性处理的编码抗干扰性能估计
由Omura和Levitt开发的Chernoff界用于评估编码扩频系统的抗干扰性能,通过蒙特卡罗估计过程增强了它的实用性,该估计过程与自适应算法有一定的相似性。对于采用非线性处理以防止部分频带干扰策略的跳频扩频系统,说明了该方法对数值结果的适用性。特别是,不依赖于接收机中AGC平均的功率归一化和裁剪算法可以在不需要实际解码器模拟的情况下定义和评估,尽管使用这种非线性处理方案时分析方法很困难。有代表性的结果表明,在最坏的情况下,与高斯白噪声相比,没有明显的退化,可以达到令人满意的对部分频带干扰的保护。
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