TY - JOUR
T1 - Eigendecomposition-Based Partial FFT Demodulation for Differential OFDM in Underwater Acoustic Communications
AU - Han, Jing
AU - Zhang, Lingling
AU - Zhang, Qunfei
AU - Leus, Geert
N1 - Publisher Copyright:
© 1967-2012 IEEE.
PY - 2018/7
Y1 - 2018/7
N2 - Differential orthogonal frequency division multiplexing (OFDM) is practically attractive for underwater acoustic communications since it has the potential to obviate channel estimation. However, similar to coherent OFDM, it may suffer from severe inter-carrier interference over time-varying channels. To alleviate the induced performance degradation, we adopt the newly emerging partial fast Fourier transform (FFT) demodulation technique in this paper and propose an eigendecomposition-based algorithm to compute the combining weights. Compared to existing adaptive methods, the new algorithm can avoid error propagation and eliminate the need for parameter tuning. Moreover, it guarantees global optimality under the narrowband Doppler assumption, with the optimal weight vector of partial FFT demodulation achieved by the eigenvector associated with the smallest eigenvalue of the pilot detection error matrix. Finally, the algorithm can also be extended straightforwardly to perform subband-wise computation to counteract wideband Doppler effects.
AB - Differential orthogonal frequency division multiplexing (OFDM) is practically attractive for underwater acoustic communications since it has the potential to obviate channel estimation. However, similar to coherent OFDM, it may suffer from severe inter-carrier interference over time-varying channels. To alleviate the induced performance degradation, we adopt the newly emerging partial fast Fourier transform (FFT) demodulation technique in this paper and propose an eigendecomposition-based algorithm to compute the combining weights. Compared to existing adaptive methods, the new algorithm can avoid error propagation and eliminate the need for parameter tuning. Moreover, it guarantees global optimality under the narrowband Doppler assumption, with the optimal weight vector of partial FFT demodulation achieved by the eigenvector associated with the smallest eigenvalue of the pilot detection error matrix. Finally, the algorithm can also be extended straightforwardly to perform subband-wise computation to counteract wideband Doppler effects.
KW - Differential OFDM
KW - partial FFT demodulation
KW - time-varying channels
KW - underwater acoustic communications
UR - http://www.scopus.com/inward/record.url?scp=85043388817&partnerID=8YFLogxK
U2 - 10.1109/TVT.2018.2813327
DO - 10.1109/TVT.2018.2813327
M3 - 文章
AN - SCOPUS:85043388817
SN - 0018-9545
VL - 67
SP - 6706
EP - 6710
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 7
ER -