RSSI-CSI Measurement and Variation Mitigation with Commodity WiFi Device

TL;DR

This paper investigates the relationship between RSSI and CSI in commodity WiFi devices, examines measurement variations, and proposes criteria and mechanisms to improve sensing accuracy.

Contribution

It provides a detailed analysis of RSSI and CSI relationship and introduces an active control mechanism to enhance measurement stability in WiFi sensing.

Findings

Reliable amplitude and phase measurement requires channel attenuation below 60 dB.

Channel difference should be less than 10 dB for stable measurements.

Proposes an active control mechanism to ensure measurement stability.

Abstract

Owing to the plentiful information released by the commodity devices, WiFi signals have been widely studied for various wireless sensing applications. In many works, both received signal strength indicator (RSSI) and the channel state information (CSI) are utilized as the key factors for precise sensing. However, the calculation and relationship between RSSI and CSI is not explained in detail. Furthermore, there are few works focusing on the measurement variation of the WiFi signal which impacts the sensing results. In this paper, the relationship between RSSI and CSI is studied in detail and the measurement variation of amplitude and phase information is investigated by extensive experiments. In the experiments, transmitter and receiver are directly connected by power divider and RF cables and the signal transmission is quantitatively controlled by RF attenuators. By changing the intensity of attenuation, the measurement of RSSI and CSI is carried out under different conditions. From the results, it is found that in order to get a reliable measurement of the signal amplitude and phase by commodity WiFi, the attenuation of the channels should not exceed 60 dB. Meanwhile, the difference between two channels should be lower than 10 dB. An active control mechanism is suggested to ensure the measurement stability. The findings and criteria of this work is promising to facilitate more precise sensing technologies with WiFi signal.