Abstract
Intermediate Frequency (IF) filters find diverse practical applications in modern communication systems. This paper presents a novel technique for the design and discrete optimization of guaranteed BIBO stable digital IF filters over the canonical signed-digit (CSD) multiplier coefficient space. This technique consists of two separate stages. In the first stage, the bilinear-LDI Jaumann digital filter design approach is employed to obtain an infinite-precision digital IF filter satisfying the given design specifications approximately. In the second stage, a diversity-controlled (DC) genetic algorithm (GA) is employed for the (discrete) optimization of the resulting Jaumann digital IF filter over the CSD multiplier coefficient space satisfying the design specifications fully. A novel LUT-based scheme is introduced to ensure that the resulting CSD Jaumann digital IF filter is automatically BIBO stable. The proposed approach is illustrated through its application to a rapid optimization (within 328 DCGA generations) of a three-sectioned eighteenth-order AMPS digital IF filter operating around a center frequency of 455 kHz.
Published Version
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