favorite6the first joint ML channel estimation and data detection algorithm for massive SIMO systems with nonconstant-modulus constellations with polynomial expected complexity.
favorite2For massive SIMO wireless systems with a large number of unknown channel coefficients, we develop algorithms to achieve the exact ML non-coherent data detection with low expected complexity, for both constant-modulus and nonconstant-modulus constellations..
favorite2As a consequence of this work, we demonstrate the exact performance gap between the optimal and suboptimal non-coherent data detection algorithms for massive SIMO systems, under both constant-modulus and nonconstant-modulus constellations.
favorite4In this paper, we propose joint exact ML channel estimation and data detection algorithms for massive SIMO systems, which work with both constant-modulus and nonconstantmodulus constellations.
favorite2In addition,  developed an exact ML non-coherent data detection algorithm for OSTBC systems with constant-modulus constellations, using recent results on efficient maximization of reduced-rank quadratic form to achieve polynomial complexity.