A Diversity Enhanced-Particle Filter based Multiple Carrier Frequency Offset Estimation Using Hadamard Matching in CA-OFDM Based LTE-A System

摘要

Carrier aggregation (CA) is a promising bandwidth extension technique which in turn increases the data rate. A scalable and flexible Orthogonal frequency-division multiplexing (OFDM) can be considered as a key element in 5G wireless communications. The combination of CA and OFDM is a prominent factor in LTE-A system followed by strict synchronicity. So, carrier frequency offset (CFO) is an important parameter to be considered and corrected. In carrier-aggregated OFDM (CA-OFDM) systems, multiple carrier frequency offsets (MCFOs) are a non linear synchronization error that induces inter carrier interference (ICI) to the system. To solve this problem, our self proposed Diversity Enhanced Particle Filter (DE-PF) with a novel resampling algorithm is used in downlink CA-OFDM receiver structure with Hadamard sequence based prominent matching algorithm to match the estimated MCFO to its corresponding Component Carrier (CC). Simulations prove that with DE-PF algorithm and proposed Hadamard matching algorithm improves MCFO estimation accuracy to a greater extent than the existing linear and non linear algorithms.