A
Anand Agrawal
Researcher at Indian Institutes of Information Technology
Publications - 21
Citations - 73
Anand Agrawal is an academic researcher from Indian Institutes of Information Technology. The author has contributed to research in topics: Bit error rate & MIMO. The author has an hindex of 4, co-authored 20 publications receiving 45 citations. Previous affiliations of Anand Agrawal include Indian Institute of Technology Guwahati & KIIT University.
Papers
More filters
Journal ArticleDOI
Performance analysis of spatial modulation over generalized α−κ−μ fading distribution
TL;DR: A moment generating function (MGF) based mathematical expression is derived to compute bit error rate (BER) for spatial modulation (SM) system over generalized α − κ − μ fading channel distribution.
Journal ArticleDOI
Performance analysis of beamforming aided uncorrelated mm-Wave MIMO system for IEEE 802.15.3c standard
TL;DR: This paper derives analytically tractable bit error rate (BER) for the analog beamforming aided mm-wave communication system over the modified IEEE 802.15.3c channel model, which takes into account the impact of the Rake receivers, which are used to capture the signal energy carried by the multipath components.
Journal ArticleDOI
Transmit Antenna Selection in the Cooperative Communication Based UWB System
TL;DR: An expression of the average bit error rate (ABER) of the relay assisted two-hop ultra-wideband (UWB) communication system over IEEE 802.15.3a channel model is derived and the derived ABER is well matched to the simulation.
Journal ArticleDOI
Analysis of UWB communication over IEEE 802.15.3a channel by superseding lognormal shadowing by Mixture of Gamma distributions
TL;DR: In this article, the bit error rate (BER) of the ultra wide band (UWB) wireless communication system over IEEE 802.15.3a channel model was calculated by superseding the lognormal (LN) shadow fading distribution to the Mixture of Gamma (MG) distributions.
Journal ArticleDOI
Vision-based outdoor navigation of self-driving car using lane detection
TL;DR: A self-driving car physical prototype based on traditional visual method of lane keeping, implemented on Raspberry Pi is proposed which is capable of maneuvering on various kind of tracks autonomously.