Estimation of Radio Channel Parameters in Case of an Unknown Transmitter

TL;DR

This paper presents methods for estimating radio channel parameters using maximum likelihood and cross-relation techniques, even when the transmitter's identity is unknown, and compares their performance through simulations.

Contribution

It introduces new cost functions for radio channel parameter estimation in scenarios with unknown transmitters, enhancing estimation accuracy.

Findings

Cost functions effectively estimate channel parameters.

Simulation results compare performance of different methods.

Proposed methods work with fully unknown transmitters.

Abstract

This paper investigates the estimation of radio channel parameters from receiver data, whereby the transmitter is fully unknown. We use a multipath model to describe the radio channel between transmitter and receiver. According to this model, we discuss the accessibility of parameters for estimation. Based on the Maximum-Likelihood principle, we derive a cost function. A second cost function is derived from the cross relation between the receiver channels. To estimate the parameters, we seek for the minimum of these cost functions. The performance of the presented cost functions are compared in simulations.