Title :
BICM Decoding of Jammed OFDM Transmissions Using the EM Algorithm
Author :
Sanguinetti, Luca ; Morelli, Matteo ; Poor, H. Vincent
Author_Institution :
Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
fDate :
9/1/2011 12:00:00 AM
Abstract :
Wireless communications over unlicensed frequency bands are expected to suffer from significant co-channel interference, which inevitably limits the error-rate performance. In this letter, an orthogonal frequency-division multiplexing system employing bit-interleaved coded-modulation is considered and the problem of reliable decoding in the presence of unknown narrowband interference (NBI) is addressed. The proposed solution operates in an iterative fashion according to the expectation-maximization algorithm and is derived by modeling the interference power on each subcarrier as a random variable with an inverse gamma distribution. Computer simulations indicate that the resulting scheme is effective against NBI and, compared to existing alternatives, it achieves a better trade-off in terms of error rate performance, computational complexity and system overhead.
Keywords :
OFDM modulation; cochannel interference; decoding; expectation-maximisation algorithm; gamma distribution; BICM decoding; EM algorithm; bit-interleaved coded-modulation; cochannel interference; computational complexity; error rate performance; error-rate performance; expectation-maximization algorithm; inverse gamma distribution; jammed OFDM transmissions; orthogonal frequency-division multiplexing system; reliable decoding; system overhead; unknown narrowband interference; unlicensed frequency bands; wireless communications; Bit error rate; Complexity theory; Decoding; Interference; Jamming; Measurement; OFDM; OFDM; bit-interleaved coded-modulation; expectation-maximization algorithm; narrowband interference;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2011.062911.101448