St-ericsson Sa

Telefonaktiebolaget Lm Ericsson (publ)

Leela Srikar Muppirisetty

Sajal Kumar Das

Aravindh Krishnamoorthy

Suyog Moogi

Deepak Varshney

The present subject matter discloses a method for antenna activity detection in multi-antenna communication devices. In one embodiment, the method comprises computing a received signal strength indicator (RSSI) value for each of a plurality of antennas based on a sampled data associated with each of the antennas. The RSSI values may then be analyzed to identify an antenna having a highest RSSI value as a primary antenna and one or more antennas having the RSSI value less than the highest RSSI value as auxiliary antennas. Further, an RSSI difference for each of the auxiliary antennas is calculated and compared with a first threshold value to ascertain one or more potentially inactive antennas from among the auxiliary antennas. The potentially inactive antennas may then be further analyzed to identify one or more inactive antennas based at least in part on the RSSI value.

Antenna activity detection in multi-antenna communication

The present subject matter discloses a system and a method for estimating a frequency offset in communication devices. In one embodiment, the method of estimating a frequency offset in a communication device comprises generating a reconstructed signal based at least in part on a channel impulse response (CIR) corresponding to a received signal. Further, a normalization matrix is determined for the reconstructed signal. Thereafter, based at least in part on the normalization matrix and the reconstructed signal, the frequency offset is estimated such that the frequency offset corresponds to a maximum normalized-correlation between the reconstructed signal and the received signal.

Frequency offset estimation in communication devices

Described herein are various methods for a communication device (e.g., a mobile station) receiving an AQPSK modulated signal (e.g., a VAMOS signal) to estimate a subchannel power imbalance ratio (SCPIR). Advantageously, the methods are not computationally complex and do not suffer from poor numerical performance.

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Andhra Pradesh, India

Leela Srikar Muppirisetty