SNR-based Adaptive Threshold Decision PN Code Acquisition Algorithm

Abstract

This paper proposes an algorithm based on noise power and SNR (signal to noise ratio) for adaptive threshold proposed PN code acquisition problem. First, this algorithm adjusts the threshold based on SNR through setting parameters, then smoothes the threshold waveform by median filters. It reduces error acquisition caused by fluctuations. Finally, by limiting filters, it makes the threshold reduces the false alarm probability caused by glitches at a certain noise level. This paper proves that the system's detection probability and false alarm probability are obviously improved comparing improved algorithm and original one through the analysis of false alarm probability and detection probability using improved algorithm and Monte Carlo simulation. Index Terms - adaptive threshold, signal detection, false alarm probability, acquisition