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The Design of Software Radio (SDR) will require a sharp filter of different bandwidth to fine tune the desired channel. This requires a large number of filter coefficients and different computational resources. In this study the novel coefficient optimization algorithm is proposed to reduce the area and power of finite Impulse Response Filter (FIR) design. In general filter coefficients will be encoded into the fewest possible nonzero bits using canonic signed digit expression. The proposed algorithm will share the Common Subexpressions (CS) and reduce the usage of replicating operations by involving CSD coefficients. The effectiveness of the proposed Binary Signed Sub coefficient (BSS) algorithm is identified and confirmed by filters using Collision Detection Multiple Access (CDMA), 121-tap high pass band, 105 and 325-tap low pass bands as benchmarks. The proposed algorithm will increase the number of common sub expression and realize the implementation procedure with low complexity. The experimental result shows our proposed algorithm will be a better one than the earlier with the smaller combinational logic and better throughput/area.

Design and Implementation of Reconfigurable FIR Filter using Common Sub-expression Elimination Method