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为了克服传统BOC捕获算法在处理相互冲突的多个性能指标方面的不足,基于单元相关输出二次组合概念提出了一种系统最优化的算法设计框架.先将各项性能指标转化为控制参数的确定函数,再将BOC捕获问题转换为参数优化问题.基于该算法框架给出了具体的BOC无模糊捕获算法设计实例.仿真结果表明:该算法能够完全抑制组合相关函数副峰,有效解决BOC捕获模糊问题,并且在判决统计量的输出信噪比和恒虚警下检测概率2个指标上取得良好的效果,具有工程实用价值.
In order to overcome the shortcomings of the traditional BOC acquisition algorithm in dealing with multiple conflicting performance indexes, a system optimization algorithm design framework is proposed based on the concept of quadratic combination of unit-related outputs. First, the performance indexes are transformed into control parameters And then the BOC capture problem is transformed into a parameter optimization problem.The design example of the BOC unambiguous acquisition algorithm is given based on the framework of the algorithm.The simulation results show that the algorithm can completely suppress the secondary peaks of the combination correlation function and effectively solve the BOC capture Fuzzy problem, and in the judgment of the output signal-to-noise ratio and constant false alarm detection probability of 2 indicators achieved good results, with engineering practical value.