Abstract
In this paper, we extend the iterative demapping technique to Observation Separation (OS), which is an iterative channel estimation and symbol detection procedure. We consider a bit interleaved coded modulation with iterative decoding (BICM-ID) on a multipath channel with coded packet oriented transmission system with 16QAM. The channels considered are the time-invariant multipath and the channel estimation corresponds to the pseudo-inverse type. We propose here to study the influence of mapping over the performance of turbo equalization. Turbo equalization is a receiving process performing iteratively equalization and channel decoding; soft information generated by each receiving function is improved through the iterations until the optimum behavior of the system reached. In the studied system the turbo equalization and the channel estimation part is based on our previous work in [1, 2 and 3]. In the context of bit interleaved coded modulation (BICM), the iterative demapping is an iterative process between the soft demapping device and the channel decoding [4, 5 and 9]. We analyze here the improvement of mapping optimization for turbo equalization and we proposed an optimized binary mapping of 16-QAM constellation in order to increase coding gain, which can be used for some practically important cases. It is demonstrated that owning to a carefully designed mapping, different to the classical Gray mapping, bit error rate performance is improved.
| Original language | English |
|---|---|
| Title of host publication | 2005 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2005 |
| Pages | 71-78 |
| Number of pages | 8 |
| Volume | 1 |
| DOIs | |
| Publication status | Published - 1 Dec 2005 |
| Externally published | Yes |
| Event | 2005 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2005 - Montreal, QC, Canada Duration: 22 Aug 2005 → 24 Aug 2005 |
Other
| Other | 2005 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2005 |
|---|---|
| Country | Canada |
| City | Montreal, QC |
| Period | 22/8/05 → 24/8/05 |
Fingerprint
Keywords
- Bit Interleaved Coded Modulation (BICM)
- Channel State Information (CSI)
- Inter Symbol Interference (ISI)
- Interference cancellation (IC)
- Observation Separation (OS)
- Quadrature Amplitude Modulation (QAM)
- Turbo equalization
- Zero Forcing (ZF)
ASJC Scopus subject areas
- Engineering(all)
Cite this
Analysis and performance evaluation for mapping optimization in BICM-ID with OS estimation and IC equalization. / Ghaith, A.; Yuan-Wu, Y.; Boutros, Joseph.
2005 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2005. Vol. 1 2005. p. 71-78 1512819.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Analysis and performance evaluation for mapping optimization in BICM-ID with OS estimation and IC equalization
AU - Ghaith, A.
AU - Yuan-Wu, Y.
AU - Boutros, Joseph
PY - 2005/12/1
Y1 - 2005/12/1
N2 - In this paper, we extend the iterative demapping technique to Observation Separation (OS), which is an iterative channel estimation and symbol detection procedure. We consider a bit interleaved coded modulation with iterative decoding (BICM-ID) on a multipath channel with coded packet oriented transmission system with 16QAM. The channels considered are the time-invariant multipath and the channel estimation corresponds to the pseudo-inverse type. We propose here to study the influence of mapping over the performance of turbo equalization. Turbo equalization is a receiving process performing iteratively equalization and channel decoding; soft information generated by each receiving function is improved through the iterations until the optimum behavior of the system reached. In the studied system the turbo equalization and the channel estimation part is based on our previous work in [1, 2 and 3]. In the context of bit interleaved coded modulation (BICM), the iterative demapping is an iterative process between the soft demapping device and the channel decoding [4, 5 and 9]. We analyze here the improvement of mapping optimization for turbo equalization and we proposed an optimized binary mapping of 16-QAM constellation in order to increase coding gain, which can be used for some practically important cases. It is demonstrated that owning to a carefully designed mapping, different to the classical Gray mapping, bit error rate performance is improved.
AB - In this paper, we extend the iterative demapping technique to Observation Separation (OS), which is an iterative channel estimation and symbol detection procedure. We consider a bit interleaved coded modulation with iterative decoding (BICM-ID) on a multipath channel with coded packet oriented transmission system with 16QAM. The channels considered are the time-invariant multipath and the channel estimation corresponds to the pseudo-inverse type. We propose here to study the influence of mapping over the performance of turbo equalization. Turbo equalization is a receiving process performing iteratively equalization and channel decoding; soft information generated by each receiving function is improved through the iterations until the optimum behavior of the system reached. In the studied system the turbo equalization and the channel estimation part is based on our previous work in [1, 2 and 3]. In the context of bit interleaved coded modulation (BICM), the iterative demapping is an iterative process between the soft demapping device and the channel decoding [4, 5 and 9]. We analyze here the improvement of mapping optimization for turbo equalization and we proposed an optimized binary mapping of 16-QAM constellation in order to increase coding gain, which can be used for some practically important cases. It is demonstrated that owning to a carefully designed mapping, different to the classical Gray mapping, bit error rate performance is improved.
KW - Bit Interleaved Coded Modulation (BICM)
KW - Channel State Information (CSI)
KW - Inter Symbol Interference (ISI)
KW - Interference cancellation (IC)
KW - Observation Separation (OS)
KW - Quadrature Amplitude Modulation (QAM)
KW - Turbo equalization
KW - Zero Forcing (ZF)
UR - http://www.scopus.com/inward/record.url?scp=33746876398&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33746876398&partnerID=8YFLogxK
U2 - 10.1109/WIMOB.2005.1512819
DO - 10.1109/WIMOB.2005.1512819
M3 - Conference contribution
SN - 0780391829
SN - 9780780391826
VL - 1
SP - 71
EP - 78
BT - 2005 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2005
ER -