基于异步时钟序列的分布式认知跳频算法

为了解决传统跳频算法对动态、复杂电磁干扰环境适应能力不足的难题，以及克服现有跳频算法在分布式通信环境下对公共控制信道和统一时钟源的依赖，提出了一种基于异步时钟序列的分布式认知跳频算法。该算法通过建立认知跳频通信系统模型，分析其通信过程中面临的关键问题，设计了一种应用于分布式跳频通信环境的异步时钟结构序列。基于该序列的分布式认知跳频算法不依赖于任何公共控制信道和统一时钟源，能够在复杂电磁干扰环境下达到高效抗干扰通信的效果。验证实验结果表明，针对典型的窄带、宽带噪声干扰、部分频段干扰以及随机干扰，所提算法的抗干扰性能均显著优于传统的跳频通信算法以及现有的公用控制信道认知跳频算法。

Distributed cognitive frequency hopping algorithm based on asynchronous clock sequence

Aiming at the problem that traditional frequency hopping communication has insufficient adaptability to dynamic and complex electromagnetic interference environment, and in order to overcome the dependence of existing frequency hopping algorithms on common control channels and a unified clock source in distributed communication environment, this paper proposed a distributed cognitive frequency hopping algorithm based on an asymmetric clock sequence. This algorithm established a cognitive frequency hopping communication system model, analyzed the key problems in its communication process, and designed an asynchronous clock structure sequence for distributed frequency hopping communication environment. The distributed cognitive frequency hopping algorithm based on this sequence did not rely on any common control channel and unified clock source, and could achieve the effect of efficient communication anti-interference in complex electromagnetic interference environment. The experimental results show that the anti-interference performance of this algorithm is significantly better than the traditional frequency hopping communication algorithm and the existing common control channel cognitive frequency hopping algorithm for typical narrowband, broadband noise interference, partial frequency band interference and random interference.