Adaptive PN Code Acquisition in Multi-Path Spread Spectrum Communications Using FPGA

Abstract

In multi-path spread spectrum communications, signals from different paths may affect the performance of the Pseudo-Noise (PN) code detectors. In this paper, the performances of two PN code detectors, Cell Averaging Constant False Alarm Rate (CA-CFAR) and Order Statistics CFAR (OS-CFAR) are analysed and compared in terms of the Mean Acquisition Time (MAT) and Probability of Detection (P D). The detectors utilise a digital Matched Filter (MF). Complexity and hardware consumption with Field Programmable Gate Array (FPGA) implementation are taken into comparison to determine the CFAR detector with the best performance. I.

Reconfigurable hardware architecture for Mean Level and log-t CFAR detectors in FPGA implementations

“…In radar signal processing field, [21] and [22] proposed configurable FPGA-based hardware architectures for three versions of CFAR algorithms, including the CA, GO, and SO. [23] presented the FPGA-based implementations of CA-CFAR and OS-CFAR detectors, focusing on the adaptive pseudo noise (PN) code acquisition in multipath spread spectrum communications. [24] investigated a specialized architecture of an FPGA-based CA-CFAR processor with Xilinx integrated circuit chip XC9600.…”