Development and Research of a HF Range Hybrid Filter Bank Based on ARM Processor

V. Magsumov, V. Priputin, D. S. Chirov
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Abstract

Currently, the electronic environment is largely determined by the use of modern radio communication systems with adaptive modes of operation, as well as the use of complex broadband signals. Monitoring a wide frequency range is used when observing various energy and spectral parameters of radio signals. The applicability of a particular signal format to the problem being solved is determined by the correspondence of these parameters to the conditions in which information is transmitted and received. The aforementioned parameters include possible interference, leading to various kinds of distortions, which, in turn, cause a deterioration in the parameters of radio monitoring systems. One of the possible methods for solving the problem of processing a wide frequency range in a difficult interference environment is the use of adaptive subband filtering based on a hybrid filter bank. The basis of the method is the decomposition of the input signal into individual frequency components (subchannels), the processing of which is performed at a speed M reduced by a factor of compared with the input signal. Further, the processed frequency components are combined into a single signal. A test of the developed filter bank was carried out on a processor with an arm core.
基于ARM处理器的高频范围混合滤波器组的开发与研究
目前,电子环境在很大程度上取决于使用具有自适应操作模式的现代无线电通信系统,以及使用复杂的宽带信号。在观测无线电信号的各种能量和频谱参数时,采用宽频率范围监测。特定信号格式对所要解决的问题的适用性取决于这些参数与信息发送和接收条件的对应关系。上述参数包括可能的干扰,导致各种畸变,进而导致无线电监测系统参数的恶化。解决在困难干扰环境下处理宽频率范围的问题的可能方法之一是使用基于混合滤波器组的自适应子带滤波。该方法的基础是将输入信号分解成单独的频率分量(子通道),其处理以速度M进行,与输入信号相比,速度M降低了一个系数。此外,将处理过的频率分量组合成单个信号。在带臂核的处理器上对所开发的滤波器组进行了测试。
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