Performance Analysis of Compressive Sensing based LS and MMSE Channel Estimation Algorithm
In this paper, we have developed and implemented Minimum Mean Square Channel Estimation with Compressive Sensing (MMSE-CS) algorithm in MIMO-OFDM systems. The performance of this algorithm is analyzed by comparing it with Least Square channel estimation with compressive sensing (LS-CS), Least Square...
Permalink: | http://skupnikatalog.nsk.hr/Record/nsk.NSK01001163182/Details |
---|---|
Matična publikacija: |
Journal of communications software and systems (Online) 17 (2021), 1 ; str. 13-19 |
Glavni autori: | Munshi, Ami (Author), Unnikrishnan, Srija |
Vrsta građe: | e-članak |
Jezik: | eng |
Online pristup: |
https://doi.org/10.24138/jcomss.v17i1.1084 Elektronička verzija članka Elektronička verzija članka |
LEADER | 02028naa a22003374i 4500 | ||
---|---|---|---|
001 | NSK01001163182 | ||
003 | HR-ZaNSK | ||
005 | 20230213113248.0 | ||
006 | m d | ||
007 | cr|||||||||||| | ||
008 | 230213s2021 ci |o |0|| ||eng | ||
024 | 7 | |2 doi |a 10.24138/jcomss.v17i1.1084 | |
035 | |a (HR-ZaNSK)001163182 | ||
040 | |a HR-ZaNSK |b hrv |c HR-ZaNSK |e ppiak | ||
041 | 0 | |a eng | |
042 | |a croatica | ||
044 | |a ci |c hr | ||
080 | 1 | |2 2011 | |
100 | 1 | |a Munshi, Ami |4 aut |9 HR-ZaNSK | |
245 | 1 | 0 | |a Performance Analysis of Compressive Sensing based LS and MMSE Channel Estimation Algorithm |h [Elektronička građa] |c Ami Munshi, Srija Unnikrishnan. |
300 | |b Ilustr. | ||
504 | |a Bibliografija: | ||
504 | |a Summary. | ||
520 | |a In this paper, we have developed and implemented Minimum Mean Square Channel Estimation with Compressive Sensing (MMSE-CS) algorithm in MIMO-OFDM systems. The performance of this algorithm is analyzed by comparing it with Least Square channel estimation with compressive sensing (LS-CS), Least Square (LS) and Minimum Mean Square Estimation (MMSE) algorithms. It is observed that the performance of MMSE-CS in terms of Bit Error Rate (BER) metric is definitely better than LS-CS and LS algorithms and it is at par with MMSE algorithm. Moreover the role of compressive sensing theory in channel estimation is accentuated by the fact that in MMSE-CS algorithm only a very small number of channel coefficients are sensed to recreate the transmitted data faithfully as compared to MMSE algorithm. | ||
700 | 1 | |a Unnikrishnan, Srija |4 aut |9 HR-ZaNSK | |
773 | 0 | |t Journal of communications software and systems (Online) |x 1846-6079 |g 17 (2021), 1 ; str. 13-19 |w nsk.(HR-ZaNSK)000644741 | |
981 | |b Be2021 | ||
856 | 4 | 0 | |u https://doi.org/10.24138/jcomss.v17i1.1084 |
856 | 4 | 0 | |u https://jcoms.fesb.unist.hr/10.24138/jcomss.v17i1.1084/ |y Elektronička verzija članka |
856 | 4 | 0 | |u https://jcoms.fesb.unist.hr/pdfs/v17n1_1084_munshi.pdf |y Elektronička verzija članka |
856 | 4 | 1 | |y Digitalna.nsk.hr |