scholarly journals Channel Sounding for the Masses: Low Complexity GNU 802.11b Channel Impulse Response Estimation

2012 ◽  
Vol 11 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Dustin Maas ◽  
Mohammad H. Firooz ◽  
Junxing Zhang ◽  
Neal Patwari ◽  
Sneha K. Kasera
Keyword(s):  
Impulse Response ◽  
Low Complexity ◽  
Channel Impulse Response ◽  
Channel Sounding ◽  
The Masses

scholarly journals CIR-Based Device-Free People Counting via UWB Signals

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3296
Author(s):  
Mauro De Sanctis ◽  
Aleandro Conte ◽  
Tommaso Rossi ◽  
Simone Di Domenico ◽  
Ernestina Cianca
Keyword(s):  
Impulse Response ◽  
Low Cost ◽  
Singular Values ◽  
Low Complexity ◽  
Channel Impulse Response ◽  
Communication Signals ◽  
People Counting ◽  
Social Distancing ◽  
Crowd Density Estimation ◽  
Crowd Density

The outbreak of COVID-19 has resulted in many different policies being adopted across the world to reduce the spread of the virus. These policies include wearing surgical masks, hand hygiene practices, increased social distancing and full country-wide lockdown. Specifically, social distancing involves keeping a certain distance from others and avoiding gathering together in large groups. Automatic crowd density estimation is a technological solution that could help in guaranteeing social distancing by reducing the probability that two persons in a public area come in close proximity to each other while moving around. This paper proposes a novel low complexity RF sensing system for automatic people counting based on low cost UWB transceivers. The proposed system is based on an ordinary classifier that exploits features extracted from the channel impulse response of UWB communication signals. Specifically, features are extracted from the sorted list of singular values obtained from the singular value decomposition applied to the matrix of the channel impulse response vector differences. Experimental results achieved in two different environments show that the proposed system is a promising candidate for future automatic crowd density monitoring systems.

scholarly journals Detection of Incoherent Signal In Molecular Communication Based on Channel Impulse Response

2021 ◽  
Vol 2136 (1) ◽  
pp. 012039
Author(s):  
Shanchao Wen
Keyword(s):  
Impulse Response ◽  
Background Noise ◽  
Molecular Diffusion ◽  
Detection Algorithm ◽  
Channel Impulse Response ◽  
Molecular Communication ◽  
Computing Power ◽  
Traditional Scheme ◽  
Molecular Signal ◽  
The Moment

Abstract In order to solve the problem of intercode interference (ISI) and background noise caused by molecular diffusion in molecular communication, Honda analyzed and studied four methods to resist ISI signal, and analyzed the characteristics of the received signal at the moment. A reliable incoherent molecular signal detection algorithm independent of channel impulse response (CIR) is proposed, and an adaptive threshold calculation method is designed, and the theoretical value of bit error rate (BER) is given. The simulation results show that the proposed scheme BER is lower than the traditional scheme BER under the same computational complexity, so it has a wide application prospect in the nanoscale molecular communication system with limited computing power.

Sign in / Sign up

Export Citation Format

Share Document