An optimization on GLRT-based detection for LTE PUCCH

This paper gives a basic optimization on the detection of Uplink Control Information (UCI) transmitted in Long Term Evolution (LTE) Physical Uplink Control Channel (PUCCH). UCI includes HARQ-ACK and Channel Quality Indicator (CQI) bits. In this paper we study the detection technique based on the generalized likelihood-ratio test (GLRT) paradigm. On the case that the noise variances in two slots are different, the detection performance of GLRT-based algorithm is improved remarkably. However the GLRT-based detection needs to traverse the all data candidates with a cost of higher computation complexity. And then an optimization on GLRT detection is proposed, which improve the detection performance of about 2.8dB for both ACK/NACK and CQI and reduce the computation complexity by straight-forward combination.