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Filter bank multi carrier (FBMC) is considered a competitive waveformcandidate for 5G that can replace orthogonal frequency division multiplexing(OFDM). However, channel estimation (CE) is a big challenge in FBMC because itsuffers from intrinsic interference which is due to the orthogonality of thesubcarrier functions in the real field only. In this paper, we investigate aproposed modified interference approximation scheme (M-IAM) by approximatingthe intrinsic interference from the neighboring pilots to accommodate thecomplex channel frequency and thus improving CE performance besides simplifyingits processing. The M-IAM scheme has larger pseudo pilot magnitude than otherconventional preamble schemes, namely the interference approximation method(IAM) with its versions (IAM-C) and (E-IAM-C); in addition to the novelpreamble design (NPS). In addition, the proposed (M-IAM) scheme ischaracterized by the lower transmitted power needed. The CE performance of theM-IAM is investigated through 512 and 2048 subcarriers via different types ofoutdoor and indoor multipath fading channels that are time-invariant such asIEEE 802.22, IEEE 802.11, Rician, and additive white Gaussian noise (AWGN), aswell as time varying channels such as Rayleigh and Vehicular A (Veh-A).Simulation results demonstrate that the proposed M-IAM scheme achieves a lowerbit error rate (BER), lower normalized mean square error (NMSE) and lowerpeak-to-average power ratio (PAPR) over the conventional preamble schemes underthe aforementioned channel models. The proposed scheme has the advantage ofsaving the transmitted power, a requirement that could match 5G low powerrequirements.

A Modified Interference Approximation Scheme for Improving Preamble Based Channel Estimation Performance in FBMC System