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Table Of Integrals Series And Products

A fast-Fourier-transform method of topography and interferometry is proposed. By computer processing of a noncontour type of fringe pattern, automatic discrimination is achieved between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour-generation techniques. The method has advantages over moire topography and conventional fringe-contour interferometry in both accuracy and sensitivity. Unlike fringe-scanning techniques, the method is easy to apply because it uses no moving components.

Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry

Matrix Differential Calculus with Applications in Statistics and Econometrics

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Radio access technologies for cellular mobile communications are typically characterized by multiple access schemes, e.g., frequency division multiple access (FDMA), time division multiple access (TDMA), code division multiple access (CDMA), and OFDMA. In the 4th generation (4G) mobile communication systems such as Long-Term Evolution (LTE) (Au et al., Uplink contention based SCMA for 5G radio access. Globecom Workshops (GC Wkshps), 2014. doi:10.1109/GLOCOMW.2014.7063547) and LTE-Advanced (Baracca et al., IEEE Trans. Commun., 2011. doi:10.1109/TCOMM.2011.121410.090252; Barry et al., Digital Communication, Kluwer, Dordrecht, 2004), standardized by the 3rd Generation Partnership Project (3GPP), orthogonal multiple access based on OFDMA or single carrier (SC)-FDMA is adopted. Orthogonal multiple access was a reasonable choice for achieving good system-level throughput performance with simple single-user detection. However, considering the trend in 5G, achieving significant gains in capacity and system throughput performance is a high priority requirement in view of the recent exponential increase in the volume of mobile traffic. In addition the proposed system should be able to support enhanced delay-sensitive high-volume services such as video streaming and cloud computing. Another high-level target of 5G is reduced cost, higher energy efficiency and robustness against emergencies.

Non-Orthogonal Multiple Access (NOMA) for cellular future radio access

In this article, we propose kernel maximum correntropy based nonlinear estimators for range and velocity estimation in non-Gaussian clutter and system nonlinearity. The proposed estimators are analyzed for linear frequency modulated and stepped frequency radar systems. Additionally, an adaptive update equation is derived for optimization of the kernel width, which further lowers the dictionary size and the variance of the proposed estimators. For performance evaluation of the proposed estimators, an expression is derived for the Cramer–Rao lower bound using a modified Fisher information matrix.

Range and Velocity Estimation Using Kernel Maximum Correntropy Based Nonlinear Estimators in Non-Gaussian Clutter

Noncoherent impulse radio ultrawideband (UWB) receivers do not require channel state information and are also robust against pulse shape distortions. However, their performance is suboptimal, especially at low signal-to-noise ratios. In this article, we propose simple noncoherent UWB receivers for wireless sensor network applications using massive antenna arrays. Two receivers are proposed: based on instantaneous received UWB signal energy and based on weighted instantaneous received UWB signal energy. The proposed receivers use the law of large numbers resulting from the massive receiver arrays and utilize the large degrees of freedom available in a UWB multipath channel. Furthermore, the proposed receivers do not require training symbols for the estimation of decision threshold. Both these receivers outperform the existing noncoherent receivers as verified using simulation results on the standardized IEEE 802.15.4a UWB multipath channel.

Noncoherent IR-UWB Receiver Using Massive Antenna Arrays for Wireless Sensor Networks

In this paper, we propose an Iterative Successive Interference Cancellation (ISIC) method for detecting the symbol vector in large MIMO systems. The minimum mean squared error (MMSE) estimate of the received symbol vector are used as an initial solution in ISIC algorithm. We then propose an ordered ISIC (OISIC) algorithm which uses the log likelihood ratio (LLR) based ordering in the detection sequence. The bit error rate (BER) performance of ISIC and OISIC algorithms is simulated for different antenna configurations in MIMO system. Simulation results show that OISIC algorithm outperforms MMSE and successive interference cancellation (SIC) based detection algorithms. Furthermore, the performance of the proposed algorithm improves with increase in antennas and approaches towards single-input single-output (SISO) additive white Gaussian noise (AWGN) performance which proves the effectiveness of OISIC algorithm for large MIMO systems.

Ordered iterative successive interference cancellation algorithm for large MIMO detection

The ultra-wide band (UWB) technology can be used for low cost and low power applications such as body area networks, IoT based applications, wireless sensor networks and high data rate short range wireless communications. In the UWB literature, non-coherent energy detector (ED) receiver is proposed to reduce receiver implementation complexity by avoiding the complex channel estimation process and relaxing the precise synchronization requirement. However, the ED receiver performance is sensitive to the integration interval, and too large or small value of integration interval degrades the UWB receiver performance. In this paper, we propose a non-coherent UWB receiver by exploiting the cluster-sparsity of the received UWB signal. The proposed receiver structure enhances the signal-to-noise ratio at the receiver output as compared to the ED by barring inter-clusters noise accumulation. The bit error rate (BER) performance of the proposed non-coherent receiver for time-hopping binary pulse position modulation UWB system is analyzed using IEEE 802.15.4a channel. The proposed receiver design does not require any training and optimization process, and provides 1–3 dB BER performance gain as compared to the conventional ED receiver.

Vimal Bhatia

Papers

Range and Velocity Estimation Using Kernel Maximum Correntropy Based Nonlinear Estimators in Non-Gaussian Clutter

Noncoherent IR-UWB Receiver Using Massive Antenna Arrays for Wireless Sensor Networks

Ordered iterative successive interference cancellation algorithm for large MIMO detection

A Non-coherent UWB receiver using signal cluster sparsity

Target Range Estimation in OFDM Radar System via Kernel Least Mean Square Technique