Abstract
The current research paper discusses the implementation of higher order-matched filter design using odd and even phase processes for efficient area and time delay reduction. Matched filters are widely used tools in the recognition of specified task. When higher order taps are implemented upon the transposed form of matched filters, it can enhance the image recognition application and its performance in terms of identification and accuracy. The proposed method i.e., odd and even phases’ process of FIR filter can reduce the number of multipliers and adders, used in existing system. The main advantage of using higher order tap-matched filter is that it can reduce the area required, owing to its odd and even processes. Further, it also successfully reduces the time delay, especially in case of high order demands. The performance of higher order matched filter design, using odd and even phase process, was analyzed using Xilinx 9.1 ISE Simulator. The study results accomplished reduction in area, 70% increase in throughput compared to traditional implementation and reduced time delay. In addition to these, Vedic multiplier-based FIR is modified with a tree-based MAM that reduces the number of shifter and adder to replace the multiplier.
Highlights
Finite Impulse Response (FIR) filter is one of the digital filters used to build Digital Signal Processing (DSP) [1] hardware
FIR digital filters are stable and possess linear phase properties due to which it is commonly applied in numerous electronic systems over a wide range of applications such as audio and video signal processing, channel equalization, data compression, matched filtering, digital audio and video recording, and pulse shaping [2]
Digital filters are widely used in present day DSP
Summary
Finite Impulse Response (FIR) filter is one of the digital filters used to build Digital Signal Processing (DSP) [1] hardware. FIR digital filters are stable and possess linear phase properties due to which it is commonly applied in numerous electronic systems over a wide range of applications such as audio and video signal processing, channel equalization, data compression, matched filtering, digital audio and video recording, and pulse shaping [2]. Digital filters are widely used in present day DSP Both speed and power optimization play a quality factor in FIR filter, due to high performance in DSP applications. FPGAs possess few key characteristics like high flexibility, reusability, low power, moderate cost, easy upgradation and feature extension facilities. It provides an array of adjustable logic modules that are interconnected with programmable routing resources and encircled by programmable input/output blocks.
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