Implementation of Signal Processing Unit for Laser Range Finder
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Detection of the range of a target using laser range finders requires filtering of incoming data in real-time which can be achieved by a dedicated hardware to meet demanding time requirements. In this paper efficient filter structure which is the combination of constant false alarm rate (CFAR) and pipelined least mean square (LMS) adaptive filtering technique used to create solution for various adaptive filtering problems. Cell averaging (CA) CFAR and automatic censored cell averaging (ACCA) CFAR algorithm are fused separately with the adaptive filter in order to filter the incoming signal so that the detection of the of a target can be achieved through peak detection unit and accordingly range can be calculated. The design with CA-CFAR fused with PLMS filter is synthesized and implemented on a Xilinx Virtex4 FPGA with 32 MHz clock using Xilinx ISE software. Other design with ACCA-CFAR combined with PLMS filter is modeled and simulated in MATLAB simulink.
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