基于模式搜索的自适应干扰抵消器算法的研究

Research of Adaptive Interference Cancellation Algorithm Based on Pattern Search

由于空间小,设备多,同址干扰在现代通信平台上十分普遍;为了减小同址干扰对接收机性能的影响,设计了一种基于正交矢量合成的自适应干扰抵消器;根据其中DSP控制单元提取出的数据的特点,提出了将模式搜索算法（PSA）作为控制器算法,并对其进行了改进;利用实际测量的数据进行了仿真分析,结果表明,相比于PSA算法、模拟退火算法、遗传算法,改进后的PSA算法具有更快的收敛速度,同时收敛精度相差无几;最后将算法在DSP中实现并在100~500 MHz进行干扰抵消比的测试,大部分频点可达40dB,满足性能要求;可以看出,模式搜索算法具有局部寻优能力强,工程上易于实现的优点,适用于需要快速收敛的寻优过程。

Due to the presence of multiple devices in a small space, cosite interference is very common in the modern communications plat- form . To reduce the influence of cosite interference on the receiver performance, a kind of adaptive interference canceller based on orthogo- nal vector synthesis is designed. According to the characteristics of extracted data from the DSP control unit, pattern search is proposed as a controller algorithm and improved. Simulation analysis are carried out using actual measurement data. The results show that, compared with the PSA algorithm, simulated annealing algorithm, genetic algorithm, the improved PSA algorithm has faster convergence speed, while con- vergence accuracy is almost the same. Finally the algorithm is implemented in DSP and interference cancellation ratio is measured in the 100 -- 500 MHz frequency range. The final implementation results show that this method can meet the performance requirements. Most {requen- ey points can reach 40 dB, meeting the performance requirements. As can be seen, the pattern search algorithm has strong local search ability and the advantage of easy to implement in engineering, suitable for optimization process that requires fast convergence.