Signal Recovery Performance Analysis in Wireless Sensing with Rectangular-Type Analog Joint Source-Channel Coding

TL;DR

This paper analyzes the signal recovery performance of rectangular-type Analog Joint Source-Channel Coding in wireless sensing across various SNR levels, deriving theoretical MSE formulations and identifying optimal parameters for improved accuracy.

Contribution

It provides the first comprehensive theoretical analysis of rectangular-type AJSCC performance in different SNR scenarios, including optimal parameter identification.

Findings

Optimal parameters exist for minimizing MSE in AJSCC.

Digital sensing with low-resolution ADC can be compared to analog sensing.

Theoretical formulations of MSE are derived for various sensing systems.

Abstract

The signal recovery performance of the rectangular-type Analog Joint Source-Channel Coding (AJSCC) is analyzed in this work for high and medium/low Signal-to-Noise Ratio (SNR) scenarios in the wireless sensing systems. The analysis and derivations of the medium/low SNR scenario are based on the comprehensive listing of all the signal variation cases in the three-dimensional signal mapping curve of the rectangular-type AJSCC. Theoretical formulations of Mean Square Error (MSE) performance are derived for both analog sensing and digital sensing systems with rectangular-type AJSCC. Evaluation results indicate that, there are optimal parameters in the rectangular-type AJSCC to minimize the signal recovery MSE performance at high and medium/low SNR scenarios. In addition, the performance of digital sensing with low-resolution Analog-to-Digital Conversion (ADC) is compared with analog sensing for both high and medium/low SNR scenarios in this work. The theoretical and evaluation results have practical value to the wireless sensing system designs based on the rectangular-type AJSCC.