An Efficient Adaptive Fir Filter Based On Distributed Arithmetic
نویسندگان
چکیده
Adaptive filtering constitutes an important class of DSP algorithms employed in several hand held mobile devices for applications such as echo cancellation, signal de-noising, and channel equalization. The throughput of the proposed design is increased by parallel lookup table (LUT) update.The 16:1 multiplexer is replace by a 8:1 and 2:1 MUX. The conventional adder-based shift accumulation for DA-based inner-product computation is replaced by conditional signed carry-save accumulation in order to reduce the area complexity; the power consumption of the proposed design is reduced by using a fast bit clock for all operations. It involves the same number of multiplexors, smaller LUT, and nearly half the number of adders compared to the existing DA-based design. The proposed architecture is found to involve significantly 29% less area-13% less power and throughput compared with the existing DA-based implementations of FIR filter and a increase in operating frequency of 12MHZ is achieved.
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