Transformed Auto-correlation

TL;DR

This paper introduces a transformed auto-correlation technique that uses a priori models to detect reflectors by transforming signals and identifying peaks in the auto-correlation map, aiding in reflector localization.

Contribution

It presents a novel transformed auto-correlation method that estimates reflector parameters simultaneously with detection, improving localization accuracy.

Findings

Effective in detecting reflectors with zero delay peaks

Can estimate reflector parameters simultaneously

Provides a parametric map for reflector localization

Abstract

A transformed auto-correlation method is presented here, where a received signal is transformed based on a priori reflecting model, and then the transformed signal is cross-correlated to its original one. If the model is correct, after transformation, the reflected signal will be coherent to the transmitted signal, with zero delay. A map of transformed auto-correlation function with zero delay can be generated in a given parametric space. The significant peaks in the map may indicate the possible reflectors nearby the central transmitter. The true values of the parameters of reflectors can be estimated at the same time.