BASABADATTA MOHANTY - Academia.edu (original) (raw)

Papers by BASABADATTA MOHANTY

Signal, Image and Video Processing, 2018

In this paper, adaptive decision feedback-based model is used to design an efficient equalizer to... more In this paper, adaptive decision feedback-based model is used to design an efficient equalizer to mitigate the detrimental effects during the signal transmission through wireless channels having non-ideal frequency response. The proposed adaptive equalizer is designed using normalized block least mean square/fourth algorithm which yields low bit error rate and mean square error in spite of high noisy and fading channel conditions. The constellations as well as eye diagrams are also taken as performance measuring criteria for indoor wireless channel which is designed by using IEEE 802.11 model with exponential power delay profile. The channel capacity using the proposed model is also analyzed to verify the system performance. Combination of block processing approach and the elegant structure of the equalizer achieves higher symbol estimation accuracy and stable convergence which is quite suitable for indoor fading channel characteristics. The performance comparison of the proposed model is presented with detail simulation results.

Wireless Personal Communications, 2017

Rayleigh’s distribution is mainly used when fading wireless medium does not have proper line of s... more Rayleigh’s distribution is mainly used when fading wireless medium does not have proper line of sight (LOS) path and is dominated by a large number of non-line of sight (NLOS) paths due to reflections of the received signal. Also because of relative motion of the base station and mobile station, a random frequency shift is generally introduced in the carrier, which can be realized in terms of Doppler spread. In case of Rayleigh’s fading channels, there are two critical problems for receiver design that is accurate estimation of channel coefficients followed by mitigation of channel impairments like inter symbol interference and fading in presence of user mobility. The accuracy of estimated channel state information is really crucial to design robust equalizer for reconstruction of bit sequence and the equalizer performance is affected by the fading rate and Doppler spread. The main research contributions of the paper is based on the exploitation of underlying sparseness of block adaptive filters through l_{0}$$l0-norm penalty for accurate estimation with stable convergence which helps to design computationally efficient adaptive models for estimation. The accuracy of the proposed sparse block and fast block models is tested using 16 QAM modulation format with Rayleigh’s fading wireless channel for outdoor environments. With the help of MATLAB simulations, the performance of the proposed sparse BLMS and FBLMS adaptive filtering are verified and the detail comparison results are presented.

TENCON 2018 - 2018 IEEE Region 10 Conference

In the proposed work presented in the paper, adaptive equalizer for MIMO-OFDM system is designed ... more In the proposed work presented in the paper, adaptive equalizer for MIMO-OFDM system is designed using neural network with functional expansions and neural weights are adjusted using sparse adaptive filter with block processing of input samples. By introducing l0-norm sparsity in the cost function of the block RLS (BRLS), equalization can be achieved for MIMO wireless channels with a comparatively less computational load. Nakagami-m fading channel model is used to represent the dispersive nature of fading wireless channel. 16-QAM constellation format is used to modulate the incoming data. The most important contribution of the paper lies in the inclusion of norm based sparsity in equalizer design which yields a low bit error rate (BER) and mean square error (MSE) even in low SNR conditins.

2017 Ninth International Conference on Advanced Computing (ICoAC), 2017

The paper proposes an adaptive beam forming model for indoor wireless channel and the channel cha... more The paper proposes an adaptive beam forming model for indoor wireless channel and the channel characteristics are described through IEEE 802.11 model. The design consists of eight elements linear antenna array with the corresponding array factors in a given desired and interfering directions. Adaptive algorithm based steering mechanism is incorporated so as to achieve better directive gain in the desired direction and to suppress the interfering signals to large extent. The proposed adaptive beam former is based on NLMS/F algorithm which is a compromise between normalized least mean square (NLMS) and normalized least mean fourth(NLMF) that utilizes the benefits of low complexity structure of LMS and faster convergence property of LMF. The normalization of correction factor is achieved with respect to norm square of input vector. The NLMS/F beam former is tested with practical fading conditions and 16-QAM modulated data corrupted by additive channel noise. A thorough comparison is be...

Wireless Personal Communications

Signal, Image and Video Processing

Signal, Image and Video Processing, 2018

In this paper, adaptive decision feedback-based model is used to design an efficient equalizer to... more In this paper, adaptive decision feedback-based model is used to design an efficient equalizer to mitigate the detrimental effects during the signal transmission through wireless channels having non-ideal frequency response. The proposed adaptive equalizer is designed using normalized block least mean square/fourth algorithm which yields low bit error rate and mean square error in spite of high noisy and fading channel conditions. The constellations as well as eye diagrams are also taken as performance measuring criteria for indoor wireless channel which is designed by using IEEE 802.11 model with exponential power delay profile. The channel capacity using the proposed model is also analyzed to verify the system performance. Combination of block processing approach and the elegant structure of the equalizer achieves higher symbol estimation accuracy and stable convergence which is quite suitable for indoor fading channel characteristics. The performance comparison of the proposed model is presented with detail simulation results.

Wireless Personal Communications, 2017

Rayleigh’s distribution is mainly used when fading wireless medium does not have proper line of s... more Rayleigh’s distribution is mainly used when fading wireless medium does not have proper line of sight (LOS) path and is dominated by a large number of non-line of sight (NLOS) paths due to reflections of the received signal. Also because of relative motion of the base station and mobile station, a random frequency shift is generally introduced in the carrier, which can be realized in terms of Doppler spread. In case of Rayleigh’s fading channels, there are two critical problems for receiver design that is accurate estimation of channel coefficients followed by mitigation of channel impairments like inter symbol interference and fading in presence of user mobility. The accuracy of estimated channel state information is really crucial to design robust equalizer for reconstruction of bit sequence and the equalizer performance is affected by the fading rate and Doppler spread. The main research contributions of the paper is based on the exploitation of underlying sparseness of block adaptive filters through l_{0}$$l0-norm penalty for accurate estimation with stable convergence which helps to design computationally efficient adaptive models for estimation. The accuracy of the proposed sparse block and fast block models is tested using 16 QAM modulation format with Rayleigh’s fading wireless channel for outdoor environments. With the help of MATLAB simulations, the performance of the proposed sparse BLMS and FBLMS adaptive filtering are verified and the detail comparison results are presented.

TENCON 2018 - 2018 IEEE Region 10 Conference

In the proposed work presented in the paper, adaptive equalizer for MIMO-OFDM system is designed ... more In the proposed work presented in the paper, adaptive equalizer for MIMO-OFDM system is designed using neural network with functional expansions and neural weights are adjusted using sparse adaptive filter with block processing of input samples. By introducing l0-norm sparsity in the cost function of the block RLS (BRLS), equalization can be achieved for MIMO wireless channels with a comparatively less computational load. Nakagami-m fading channel model is used to represent the dispersive nature of fading wireless channel. 16-QAM constellation format is used to modulate the incoming data. The most important contribution of the paper lies in the inclusion of norm based sparsity in equalizer design which yields a low bit error rate (BER) and mean square error (MSE) even in low SNR conditins.

2017 Ninth International Conference on Advanced Computing (ICoAC), 2017

The paper proposes an adaptive beam forming model for indoor wireless channel and the channel cha... more The paper proposes an adaptive beam forming model for indoor wireless channel and the channel characteristics are described through IEEE 802.11 model. The design consists of eight elements linear antenna array with the corresponding array factors in a given desired and interfering directions. Adaptive algorithm based steering mechanism is incorporated so as to achieve better directive gain in the desired direction and to suppress the interfering signals to large extent. The proposed adaptive beam former is based on NLMS/F algorithm which is a compromise between normalized least mean square (NLMS) and normalized least mean fourth(NLMF) that utilizes the benefits of low complexity structure of LMS and faster convergence property of LMF. The normalization of correction factor is achieved with respect to norm square of input vector. The NLMS/F beam former is tested with practical fading conditions and 16-QAM modulated data corrupted by additive channel noise. A thorough comparison is be...

Wireless Personal Communications

Signal, Image and Video Processing