M Tech Dissertations
Permanent URI for this collectionhttp://ir.daiict.ac.in/handle/123456789/3
Browse
6 results
Search Results
Item Open Access Channel estimation in OFDM systems(Dhirubhai Ambani Institute of Information and Communication Technology, 2010) Rathore, Hitesh; Joshi, Manjunath V.Orthogonal frequency division multiplexing (OFDM) is not a new concept, but its receiver design has constant improvement. OFDM uses available spectrum efficiently and the system provides high data rates. Many standards such as Digital video broadcasting (DVB), Wireless local area network (WLAN), 3GGP LTE uses OFDM as standard. Most of the digital communication systems nowadays are wireless, where information bits are transmitted over a radio channel. These radio channels are generally multi path channel which cause inter symbol interference (ISI). To remove the effect of ISI from received signal equalization is done, which requires the channel impulse response. A good channel estimation technique can reduce the complexity of equalizer by large factor. Channel estimation can be done by sending pilot symbols at regular interval and at the receiver the channel impulse response is estimated using these received pilot symbols.In this thesis various pilot based channel estimators are studied. We propose a new channel estimator, which is based on regularized least squares method and uses some prior information of the channel. The performance of existing channel estimators and proposed channel estimator is compared. The criteria for performance are on the basis of mean squared error (MSE) and symbol error rate (SER). Various adaptive channel estimators are also studied. We also propose a new adaptive channel estimator, based on two-dimensional normalized least mean squared (NLMS) algorithm with variable step size. The performance of existing adaptive channel estimators is compared with the proposed adaptive channel estimator. Performance comparison is based on MSE and the bit error rate (BER).
Item Open Access Executable specification design and simulation of OFDM based communication system(Dhirubhai Ambani Institute of Information and Communication Technology, 2009) Sa, Sudhir Kumar; Dubey, RahulThe communication system using the OFDM principle is today one of the most important application in communication field. This system has various applications from broadband to 3G and digital TV to Radio LANs. This master’s thesis project deals with the implementation of certain specification, algorithmic exploration for WVAN (wireless video area network) in Simulink®. The implemented model and its specification is the reference for the hardware designing and verification. The model used in OFDM based QPSK/16-QAM modulated communication system for the WHD WVAN standard at the High Rate Physical (HRP) layer. This thesis project describes the functionality of the various communication blocks and the method of data transmission through these blocks. The main purpose of this model is to calculate the BER (Bit Error Rate). The final design which supports the different HRP mode for different code rate and different Modulation scheme can take different length of sub-packets which depends on the HRP mode of Transmission. This model also implements the radix-2 FFT algorithm for fixed point FFT processor. Since the FFT processor cannot be used standalone, so in this thesis it is employed in an OFDM Transmitter and Receiver. The goal of this report is to outline the knowledge gained during the master’s thesis project, to describe a design methodology for the OFDM based communication system for high throughput and best error protection. The functionality of each block of the communication system is written in „C‟ code and the output data of each block of Simulink Model is compared to 'C' code written output for the same input.Item Open Access Design and implementation of 128-point fixed point streaming FFT processor for OFDM based communication system(Dhirubhai Ambani Institute of Information and Communication Technology, 2009) Verma, Sunil Kumar; Dubey, RahulFast Fourier Transform (FFT) processors are today one of the most important blocks in communication systems. They are used in every communication system from broadband to 3G and digital TV to Radio LANs. This master’s thesis project deals with the pipelined, radix-2 algorithmic exploration and the hardware solution for the FFT processor with the FFT size of 2N points, the selection of the scaling schemes based on application requirement is discussed. The designed architecture is functionally verified in Simulink® and the Xilinx® ISE simulator. How to encapsulate the C++ coded algorithms or functions into the Simulink. This FFT processor is used in OFDM based BPSK modulated communication system for the WHD WVAN standard at the Low Rate Physical (LRP) lay. This thesis project presents the design of the 128 point fixed–point F streaming processor. The final architecture used is the SDF (single path with delay feedback) that implements the radix-2 FFT algorithm. Since the FFT processor can’t be used standalone, so in this thesis it is employed in an OFDM Transmitter and the performance is measured for SNR over a range of PAPRs. The goal of this report is to outline the knowledge gained during the master’s thesis project, to describe a design methodology for the fixed point pipelined FFT processors, the scaling choices and how to encapsulate the existing C code into the Simulink environment to measure the performance of fixed-point systems.Item Open Access Channel estimation and tracking OFDM and MIMO systems(Dhirubhai Ambani Institute of Information and Communication Technology, 2009) Singh, Smriti; Vijaykumar, ChakkaIn this thesis, To estimate and track the slow Time varying channels in OFDM and MIMO systems. In first part: we have used a two-dimensional recursive least square adaptive channel estimation technique is used. In orthogonal frequency division multiplexing (OFDM) system, time- and frequency-domain two-dimensional minimum mean square error (2D-MMSE) channel estimation is optimum. However, accurate channel statistics, which are often time varying and unavailable in practice, are required to realize it.2DRLS adaptive channel estimation does not require accurate channel statistics, and at the same time can make full use of time and frequencydomain correlations of the frequency response of time-varying wireless channels. With properly chosen parameters, 2D-RLS adaptive channel estimation can converge into the steady state in only several OFDM symbols time. Although the 2D RLS algorithm creates adaptive letters with a fast convergence speed, this algorithm diverges when the inverse correlation matrix of input loses the properties of positive definiteness or Hermitian symmetry. The diverging of the 2D RLS algorithm same as standard RLS limits the application of this algorithm. We proposed a QR decomposition-based 2DRLS (inverse QR-2DRLS) algorithm, which can resolve this instability. Instead of propagating inverse of correlation matrix of the input signal, it propogates square root of inverse correlation matrix of the input signal. Therefore, this algorithm guarantees the property of positive definiteness and is more numerically stable than the standard RLS algorithm. The parallel implementation of the inverse QR-2DRLS algorithm permits a direct computation of the least squares weight coefficients matrix MATLAB simulations demonstrate that performance of QR-2D-RLS adaptive channel estimation is same as of 2D-RLS adaptive channel estimation and is very effective and suitable for a broad range of channel conditions. In the second part of the thesis: Since, In MIMO systems, accurate channel estimation is necessary to fully exploit the benefits of spatial diversity offered by such systems. And for time-varying channels, these channel estimates should also be updated accordigly to track the variation of channel. we have used One such method of channel estimation using adaptive SVD updates for channel estimation and tracking of slow-time varying channels in MIMO system. The channel estimates are then further used for symbol detection using V-BLAST/ZF detection algorithm which ensures interference reduction and give better BER vs. SNR performance than SVD based MIMO system.Item Open Access Pulse shaping design for PAPR reduction in OFDM(Dhirubhai Ambani Institute of Information and Communication Technology, 2009) Jain, Akansha; Vijaykumar, ChakkaFuture mobile communications systems reaching for ever increasing data rates require higher bandwidths than those typical used in todays cellular systems. By going to higher bandwidth the (for low bandwidth) at fading radio channel becomes frequency selective and time dispersive. Due to its inherent robustness against time dispersion Orthogonal Frequency Division Multiplex (OFDM) is an attractive candidate for such future mobile communication systems. OFDM partitions he available bandwidth into many subchannels with much lower bandwidth. Such a narrowband subchannel experiences now almost at fading channel. However, one potential drawback with OFDM modulation is the high Peak to Average power Ratio (PAPR) of the transmitted signal: The signal transmitted by the OFDM system is the superposition of all signals transmitted in the narrowband subchannels. The transmit signal has then due to the central limit theorem a Gaussian distribution leading to high peak values compared to the average power. system design not taking this into account will have a high clip rate. Each signal sample that is beyond the saturation limit of the power amplier suersither clipping to this limit value or other non- linear distortion, both creating additional bit errors in the receiver. One possibility to avoid clipping is to design he system for very high signal peaks. However, this approach leads to very high power consumption (since the power amplifier must have high supply rails) and also complex power amplifiers. The preferred solution is therefore to apply digital signal processing that reduces such high peak values in the transmitted signal thus voiding clipping. These methods are commonly referred to as PAPR reduction. APR reduction methods can be categorized into transparent methods here the receiver is not aware of the reduction scheme applied by the transmitter and on-transparent methods where the receiver needs to know the PAPR algorithm applied by the transmitter. This master thesis would focus on transparent PAPR reduction algorithms. The pulse shaping mechanism is used to reduce PAPR. he ct is analyzed in terms of BER.Item Open Access Frequency offset estimation in OFDM signals using particle filtering along with resampling methods(Dhirubhai Ambani Institute of Information and Communication Technology, 2008) Jayanthi, V. Ravisankar; Vijaykumar, ChakkaFrequency offset is one of the main effects the Bit Error Rate(BER) in orthogonal frequency division multiplexing (OFDM). There are many applications which depend on OFDM. The present method describes the estimation of frequency offset for OFDM irrespective of the distribution of the channel noise. This method uses Particle Filtering for the estimation of frequency offset. As Particle Filter is a non-linear and non-Gaussian estimator, there will be no constraint on the channel noise. This method also uses the resampling methods, which are essential in modifying the weight approximates during the iterations. Here the performance of the Particle Filter in estimating the frequency offset for the OFDM is observed along with the resampling methods.