Multi-rate bandpass filter bank implemented in QRNS complex arithmetic using parallel multiple DSP chips or ASICs

Proceedings of 27th Asilomar Conference on Signals, Systems and Computers Pub Date : 1993-11-01 DOI:10.1109/ACSSC.1993.342632

M. Soderstrand, D. Chu, W. Chan, M. Lazkani, H. Loomis

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引用次数: 2

Abstract

In decoding spread-spectrum BPSK signals in the presence of narrow-band interference, a perfect reconstruction multi-rate bandpass filter bank can be used with a very simple adaptive algorithm to eliminate narrow-band interference broadband signals. Inherent in this structure is the need to do quadrature processing to eliminate images that occur due to the up-sampling required to obtain the narrow-band bandpass filters. We propose to use parallel processors (microprocessors, ASICs, or DSP chips) to implement complex FIR filters needed to eliminate the upsampled images. The processors implement a very simple complex FIR filter in one modulus of a generalized quadratic residue number system (GQRNS). By keeping the moduli small and the filter order low, it is possible to use standard binary within the processor to implement a GQRNS number system. This allows us to obtain the advantages of parallel processing and simplified complex number arithmetic inherent in GQRNS arithmetic while maintaining standard binary arithmetic in the processors.<>

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采用并行多DSP芯片或asic实现QRNS复杂算法的多速率带通滤波器组

在存在窄带干扰的扩频BPSK信号的解码中，可以使用一种完美的重构多速率带通滤波器组和一种非常简单的自适应算法来消除宽带信号的窄带干扰。这种结构的固有特点是需要进行正交处理，以消除由于窄带带通滤波器所需的上采样而产生的图像。我们建议使用并行处理器(微处理器、asic或DSP芯片)来实现消除上采样图像所需的复杂FIR滤波器。该处理器在广义二次残数系统(GQRNS)的一个模数上实现了一个非常简单的复杂FIR滤波器。通过保持模数小和滤波器阶数低，可以在处理器内使用标准二进制来实现GQRNS数字系统。这使我们能够在处理器中保持标准二进制运算的同时，获得GQRNS算法所固有的并行处理和简化复数运算的优点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of 27th Asilomar Conference on Signals, Systems and Computers

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