Channel estimation in OFDM systems with unknown interference

We investigate the problem of channel estimation in an orthogonal frequency-division multiplexing (OFDM) system plagued by unknown narrowband interference (NBI). Such scenario arises in many practical contexts, including cellular applications and emerging spectrum sharing systems, where coexistence...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2009-10, Vol.8 (10), p.5338-5347
Main Authors: Morelli, M., Moretti, M.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Cellular
Channel estimation
Channels
Computer simulation
Context-aware services
Degradation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
expectation-maximization
Frequency division multiplexing
Information, signal and communications theory
Interchannel interference
Interference
Iterative algorithms
Jacobi-Newton algorithm
Jacobian matrices
Multiplexing
Narrowband
Nuisance
OFDM
Orthogonal Frequency Division Multiplexing
Performance degradation
Robustness
Signal and communications theory
Signal, noise
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Wireless communication
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Summary:We investigate the problem of channel estimation in an orthogonal frequency-division multiplexing (OFDM) system plagued by unknown narrowband interference (NBI). Such scenario arises in many practical contexts, including cellular applications and emerging spectrum sharing systems, where coexistence of different types of wireless services over the same frequency band may result into remarkable co-channel interference. Estimation algorithms devised for conventional OFDM transmissions are expected to suffer from significant performance degradation in the presence of NBI. To overcome this difficulty, in the present work we follow a novel pilot-aided approach where the interference power on each pilot subcarrier is treated as a nuisance parameter which is averaged out from the corresponding likelihood function. The latter is then maximized in an iterative fashion according to the expectation-maximization (EM) principle or by applying the Jacobi-Newton algorithm. The resulting schemes have affordable complexity and are inherently robust to NBI. Their accuracy is investigated by means of computer simulations and compared with the relevant Cramer- Rao bound.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2009.090270