Rabindranath Bera

Cognitive vertical handover engine for vehicular communication

Always best connected (ABC) communication is an essential requirement for intelligent transportation system. In this paper, we propose a cognitive vertical handover (CVHO) engine to ensure seamless connectivity on the move. Analytic hierarchy process and artificial neural network are used for the development of the algorithm and MATLAB is used as simulation platform. The CVHO engine, which is knowledge based context aware system, takes into account multiple relevant criteria and previous experiences. This system is capable of performing both voluntary and reflex actions. A detailed literature review is presented to compare this work with the conventional methods of vertical handover. A case study, considering the network selection in a typical highway traffic scenario, which consists of both peer-to-peer (P2P) and mobile networks, is presented for the validation of the design. Three radio access technologies, WLAN (P2P), UMTS and WiMAX (mobile networks), are considered for simulation. The results show that the presented model not only realistically optimizes the best available network on the move but also avoids unnecessary handovers. This algorithm is specific to vehicular communication system and hence variation in network selection with vehicle speed is shown.

Modeling and Implementation Of Wireless Embedded System For Intelligent Transport System Application

Intelligent transport system (ITS) deals with the remote sensing as well as access to the Internet and multimedia on the move. There is a need for a system that supports both remote sensing and communication aspects with simple and reconfigurable hardware. In the present work MATLAB/SIMULINK based modeling of such a system is done based on DSSS. Hardware realization of this model is achieved through the signal wave software defined radio (SDR). From the simulation results two empirical formulae are developed for target detection.

Dedicated short range communications (DSRC) for intelligent transport system

In an effort to develop a complete DSRC system for ITS application, the authors have studied a lot of experimental facts which they are exploiting for the design. The wireless technology has been chosen properly which is capable of tackling the severe interferences present in the open road. For road to car communication, a combined digital technology like spread spectrum along with diversity reception will help a lot in this regard. Accordingly, the choice is for FHSS based space diversity system which will utilize carrier frequency around 5.8 GHz ISM band with available bandwidth of 80 MHz and no license. For efficient design, the radio channel is characterized on which the design is based. To have the full DSRC system, a fixed wireless connectivity at Ku band is also explored for road side base station to master switching center connectivity

Target detection of ISAR data by principal component transform on co-occurrence matrix

Issue of automated target detection in ISAR can be stated as what features enhance objects of interest from the rest of the data. Much experimentation done in this area have used Fourier transforms for preprocessing the raw signal data. Generally the ISAR data are comes with a matrix of complex number values and therefore intuitive logic appears to favor a Fourier transform. A hypothesis was made that a Fourier transform in preprocessing may mask some data that could be part of feature used to threshold the object from background. Thus a trial was done on MATLAB simulated ISAR data to see if such data can be transformed into a matrix to visualize objects by preprocessing with principle component transform followed by some modification conventional thresholding techniques i.e. gray level co-occurrence matrix. Since it would be difficult to do so in complex valued matrices, these matrices had been decomposed to real valued and the imaginary valued matrices separately. Advantages of simulated data were that variables could be defined and changes in preprocessing transform and thresholding result could be compared with significant accuracy before a trial with actual performance of ISAR imagery. The preliminary result in this paper does show that preprocessing transform need not be Fourier. Principle component transform may bring about features that enhance thresholding values for Automatic target detection. Thresholding in conventional methods is done by finding a fixed value to create a binary image highlighting the object. In the modification proposed here single value thresholding objects and then spatially locating the object in a binary matrix may circumvented.

Channel Capacity Analysis of MIMO System in Correlated Nakagami-m Fading Environment

We consider Vertical Bell Laboratories Layered Space-Time (V-BLAST) systems in correlated multiple-input multiple-output (MIMO) Nakagami-m fading channels with equal power allocated to each transmit antenna and also we consider that the channel state information (CSI) is available only at the receiver. Now for practical application, study of the VBLAST MIMO system in correlated environment is necessary. In this paper, we present a detailed study of the channel capacity in correlated and uncorrelated channel condition and also validated the result with appropriate mathematical relation.

Wireless Embedded System for Multimedia Campus Network Utilizing IEEE 802.11 N (draft) and WiMax Radio

Lots of emerging wireless technologies has evolved with their own advantages and disadvantages. Through the convergence of technologies, one can eliminate the drawbacks of the other. In this work, the authors first established limitations of the popular WiFi (IEEE 802.11 wireless router) radio in terms of high end multimedia data services and then redesign the IEEE 802.11 N(draft) wireless router based cells taking WiMax technology as the back bone network which results in a WMCN System. Instead of using standard DSP/BIOS based RTOS kernel, they are working on XPC target based RTOS kernel provided by Matlab using a standalone PC. This approach has enhanced the performance of the total system. The modeling and simulation of the different sub systems of WMCN are realized using Matlab & Simulink. These simulations are being ported through XPC target mode to a standalone PC for the completion of the project. Additionally, the theoretical design of Pico cell structure for the campus has been finalized. Accordingly, they are trying to invest and develop 40 such WMCN systems and run these systems for wireless multimedia broadband service.

Contemporary MMSE and ZF receiver for V-BLAST MIMO system in Nakagami-m fading channel

In this paper the BER and capacity performance of the V-BALST MIMO systems with Minimum mean square error (MMSE) and zero forcing (ZF) receiver over Nakagami-m channel is investigated. Both the bit error rate (BER) and capacity of MIMO systems have been analyzed with different modulation techniques and also with different configuration of MIMO systems. The simulated results have been verified by using corresponding mathematical calculation.

Decision Feedback Equalization for MIMO Systems

This paper deals with the implementation of decision feedback equalization-based receivers for MIMO systems in correlated Nakagami-m channel. Moreover, suboptimal, pre-equalization combining decision feedback receiver (DFE) architectures are examined and performance is compared with its linear counterparts.

Review and Design of UWB Transmitter and Receiver

Impulse radio communication systems and impulse radars both utilizes very short pulses in transmission that results in an ultra-wideband spectrum. This paper discusses the various techniques for transmission of the UWB impulses and also some receiver techniques. Also the design consideration for THSS-UWB transmitter using Matlab Simulink block is presented. General Terms Pulse Position Modulation, FCC’s First Report and Order Cross Correlation.

A Fuzzy Reasoning Technique for Pattern Recognition

This paper presents a fuzzy reasoning technique for pattern classification. The binary image of a pattern is partitioned into number of overlapping and non-overlapping regions for feature extraction. A set of features extracted to represent the binary images are used in the classifier design. The knowledge base (KB) is build using the statistical information involved in the interclass region features. The unknown samples features are matched with KB and assigned a membership value by the fuzzy reasoning technique for their classification. On experimentation with the handwritten numeral data, found good classification and recognition rate. General Terms Pattern Recognition, Fuzzy classification, Optical Character Recognition