Compressed Sensing Based Direct Conversion Receiver With Interference Reducing Sampling

TL;DR

This paper proposes a compressed sensing-based direct conversion receiver that reduces the need for complex analog filtering by using optimized sampling patterns aligned with signal frequency knowledge, improving design simplicity and robustness.

Contribution

It introduces a novel sampling strategy in direct conversion receivers leveraging compressed sensing to relax analog filter requirements, demonstrated through a numerical example.

Findings

Sampling pattern matching frequency placement improves interference reduction

Relaxed analog filter design simplifies IC implementation

Numerical example validates the approach

Abstract

This paper describes a direct conversion receiver applying compressed sensing with the objective to relax the analog filtering requirements seen in the traditional architecture. The analog filter is cumbersome in an \gls{IC} design and relaxing its requirements is an advantage in terms of die area, performance and robustness of the receiver. The objective is met by a selection of sampling pattern matched to the prior knowledge of the frequency placement of the desired and interfering signals. A simple numerical example demonstrates the principle. The work is part of an ongoing research effort and the different project phases are explained.