TY - GEN
T1 - Performance of a semi-blind receiver for the uplink of the UMTS TDD Mode
AU - Lasaulce, Samson
AU - Gosse, Karine
AU - Loubaton, Philippe
AU - Moulines, Éric
PY - 1999/12/1
Y1 - 1999/12/1
N2 - The most classical UMTS TDD Mode receivers use a training sequence channel estimation followed by a Joint Detection algorithm (e.g. MMSE BL or ZF DFE). However, it seems quite relevant to take benefit of the observations generated by unknown symbols in order to improve the performance of the channel estimate. This approach is classically called semi-blind channel estimation. Several semi-blind techniques have been recently proposed in the context of TDMA systems. The purpose of this paper is to evaluate the performance (in terms of bit error rate) of the statistically optimal semi-blind estimate, which is based on a maximum likelihood method implemented via the classical Expectation Maximization (EM) algorithm. This algorithm provides a high performance channel estimate but also an optimal Joint Detection of the transmitted symbols. The corresponding results represent lower bounds to which we compare classical sub-optimal procedures.
AB - The most classical UMTS TDD Mode receivers use a training sequence channel estimation followed by a Joint Detection algorithm (e.g. MMSE BL or ZF DFE). However, it seems quite relevant to take benefit of the observations generated by unknown symbols in order to improve the performance of the channel estimate. This approach is classically called semi-blind channel estimation. Several semi-blind techniques have been recently proposed in the context of TDMA systems. The purpose of this paper is to evaluate the performance (in terms of bit error rate) of the statistically optimal semi-blind estimate, which is based on a maximum likelihood method implemented via the classical Expectation Maximization (EM) algorithm. This algorithm provides a high performance channel estimate but also an optimal Joint Detection of the transmitted symbols. The corresponding results represent lower bounds to which we compare classical sub-optimal procedures.
UR - https://www.scopus.com/pages/publications/79952126431
U2 - 10.1109/VETECF.1999.1011263
DO - 10.1109/VETECF.1999.1011263
M3 - Conference contribution
AN - SCOPUS:79952126431
SN - 0780354354
SN - 9780780354357
T3 - IEEE Vehicular Technology Conference
SP - 988
EP - 992
BT - VTC 1999-Fall
T2 - IEEE VTS 50th Vehicular Technology Conference, VTC 1999-Fall
Y2 - 19 September 1999 through 22 September 1999
ER -