Channel Estimation in Millimeter Wave MIMO Systems with One-Bit Quantization
Jianhua Mo, Philip Schniter, Nuria Gonzalez Prelcic and Robert W. Heath, Jr.
In Proc. of IEEE Asilomar Conf. on Signals, Systems, and Computers, Nov. 2014.
We develop channel estimation agorithms for mil-
limeter wave (mmWave) multiple input multiple output (MIMO)
systems with one-bit analog-to-digital converters (ADCs). Since
the mmWave MIMO channel is sparse due to the propagation
characteristics, the estimation problem is formulated as a one-
bit compressed sensing problem. We propose a modiﬁed EM
algorithm that exploits sparsity and has better performance than
the conventional EM algorithm. We also present a second solution
using the generalized approximate message passing (GAMP)
algorithm to solve this optimization problem. The simulation
results show that GAMP can reduce mean squared error in the
important low and medium SNR regions.