TY - JOUR
T1 - Scalar Ambiguity Estimation Based on Maximum Likelihood Criteria for Totally Blind Channel Estimation in Block Transmission Systems
AU - Suga, Norisato
AU - Furukawa, Toshihiro
N1 - Publisher Copyright:
© 2002-2012 IEEE.
PY - 2021/4
Y1 - 2021/4
N2 - This paper proposes a scalar ambiguity estimation method that sublimates the blind channel estimation method to totally blind estimation. Generally, the blind channel estimation method can identify the channel impulse response or channel frequency response up to scalar ambiguity. For coherent detection, the ambiguity should also be estimated. Exploiting the multiple modulation scheme, we estimate the scalar ambiguity for zero forcing equalization by maximum likelihood (ML). We also detect some equalized symbols fed into the ML estimation, which reduces the computational complexity of the proposed scalar ambiguity estimation. To efficiently reduce the complexity, we derive the Bayesian Cramér Rao lower bound (BCRB) of the ambiguity estimation. When evaluated in computational simulations, the performance of the proposed method achieved the BCRB performance at high signal-to-noise ratios. We also confirmed that when the proposed method is combined with the existing blind channel estimation, coherent detection is possible without any pilot symbols.
AB - This paper proposes a scalar ambiguity estimation method that sublimates the blind channel estimation method to totally blind estimation. Generally, the blind channel estimation method can identify the channel impulse response or channel frequency response up to scalar ambiguity. For coherent detection, the ambiguity should also be estimated. Exploiting the multiple modulation scheme, we estimate the scalar ambiguity for zero forcing equalization by maximum likelihood (ML). We also detect some equalized symbols fed into the ML estimation, which reduces the computational complexity of the proposed scalar ambiguity estimation. To efficiently reduce the complexity, we derive the Bayesian Cramér Rao lower bound (BCRB) of the ambiguity estimation. When evaluated in computational simulations, the performance of the proposed method achieved the BCRB performance at high signal-to-noise ratios. We also confirmed that when the proposed method is combined with the existing blind channel estimation, coherent detection is possible without any pilot symbols.
KW - Bayesian Cramér Rao lower bound
KW - Blind channel estimation
KW - OFDM
KW - scalar ambiguity
KW - totally blind channel estimation
UR - http://www.scopus.com/inward/record.url?scp=85098790206&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098790206&partnerID=8YFLogxK
U2 - 10.1109/TWC.2020.3043348
DO - 10.1109/TWC.2020.3043348
M3 - Article
AN - SCOPUS:85098790206
VL - 20
SP - 2608
EP - 2620
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 4
M1 - 9295375
ER -