Abstract
Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) receiver with an electronically steerable passive array radiator (ESPAR) antenna can improve the bit error rate (BER) performance and obtain additional diversity gain without increasing the number of radio frequency (RF) front-end circuits. In this scheme, a minimum mean square error (MMSE) channel estimator is employed for obtaining the channel state information. However, its drawbacks include insufficient estimation accuracy and high computational complexity due to the inverse matrix calculation. In this paper, we propose to use a low complexity compressed sensing-based channel estimation for the MIMO-OFDM receiver with ESPAR antenna. We also propose a low complexity detection scheme to further reduce the computational cost required for the detection. The simulation results show that using the proposed channel estimation method, the BER performance is improved while its complexity is reduced. The simulations also show that the proposed detection scheme successfully reduces the required computational cost while minimizing the degradation in the BER.
| Original language | English |
|---|---|
| Article number | 7349254 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | PP |
| Issue number | 99 |
| DOIs | |
| Publication status | Published - 2015 |
| Externally published | Yes |
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Keywords
- Channel estimation
- Compressed sensing
- ESPAR
- MIMO-OFDM
ASJC Scopus subject areas
- Automotive Engineering
- Aerospace Engineering
- Computer Networks and Communications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Low complexity channel estimation and detection for MIMO-OFDM receiver with ESPAR antenna. / Reinoso Chisaguano, DIego Javier; Hou, Yafei; Higashino, Takeshi; Okada, Minoru.
In: IEEE Transactions on Vehicular Technology, Vol. PP, No. 99, 7349254, 2015.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Low complexity channel estimation and detection for MIMO-OFDM receiver with ESPAR antenna
AU - Reinoso Chisaguano, DIego Javier
AU - Hou, Yafei
AU - Higashino, Takeshi
AU - Okada, Minoru
PY - 2015
Y1 - 2015
N2 - Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) receiver with an electronically steerable passive array radiator (ESPAR) antenna can improve the bit error rate (BER) performance and obtain additional diversity gain without increasing the number of radio frequency (RF) front-end circuits. In this scheme, a minimum mean square error (MMSE) channel estimator is employed for obtaining the channel state information. However, its drawbacks include insufficient estimation accuracy and high computational complexity due to the inverse matrix calculation. In this paper, we propose to use a low complexity compressed sensing-based channel estimation for the MIMO-OFDM receiver with ESPAR antenna. We also propose a low complexity detection scheme to further reduce the computational cost required for the detection. The simulation results show that using the proposed channel estimation method, the BER performance is improved while its complexity is reduced. The simulations also show that the proposed detection scheme successfully reduces the required computational cost while minimizing the degradation in the BER.
AB - Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) receiver with an electronically steerable passive array radiator (ESPAR) antenna can improve the bit error rate (BER) performance and obtain additional diversity gain without increasing the number of radio frequency (RF) front-end circuits. In this scheme, a minimum mean square error (MMSE) channel estimator is employed for obtaining the channel state information. However, its drawbacks include insufficient estimation accuracy and high computational complexity due to the inverse matrix calculation. In this paper, we propose to use a low complexity compressed sensing-based channel estimation for the MIMO-OFDM receiver with ESPAR antenna. We also propose a low complexity detection scheme to further reduce the computational cost required for the detection. The simulation results show that using the proposed channel estimation method, the BER performance is improved while its complexity is reduced. The simulations also show that the proposed detection scheme successfully reduces the required computational cost while minimizing the degradation in the BER.
KW - Channel estimation
KW - Compressed sensing
KW - ESPAR
KW - MIMO-OFDM
UR - http://www.scopus.com/inward/record.url?scp=85029199419&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85029199419&partnerID=8YFLogxK
U2 - 10.1109/TVT.2015.2506782
DO - 10.1109/TVT.2015.2506782
M3 - Article
VL - PP
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 99
M1 - 7349254
ER -