Statistical Analysis of Phase-Only Correlation Functions between Real Signals with Stochastic Phase-Spectrum Differences

Abstract

This paper proposes the statistical analysis of phase-only correlation functions between two real signals with phase-spectrum differences. For real signals, their phase-spectrum differences have oddsymmetry with respect to frequency indices. We assume phase-spectrum differences between two signals to be random variables. We next derive the expectation and variance of the POC functions considering the oddsymmetry of the phase-spectrum differences. As a result, the expectation and variance of the POC functions can be expressed by characteristic functions or trigonometric moments of the phase-spectrum differences. Furthermore, it is shown that the peak value of the POC function monotonically decreases and the sidelobe values monotonically increase as the variance of the phase-spectrum differences increases.

A Study on a Novel Inverted Ultra-Short Baseline Positioning System and Phase Difference Estimation

“…Existing methods such as zero-crossing phase detection [13], digital correlation [14,15], etc., each have their own shortcomings in dynamic phase difference estimation. The zero-crossing phase detection method calculates the phase difference by the time when two signals cross the zero point.…”