Statistical Performance Analysis of Cropped Wireless Image Transmission Using Multistep Distance Power Adaptation Algorithm and Convolution Code Rate - 2 / 3

Power is adapted for reducing the error in the data while transmission is carried. The Multi step Power Adaptation Algorithm calculates the optimal transmission power assignment for each bit within the vector, taking into account all the neighboring bits. The Multi Step power adaptation algorithm (MDPAA) uses the multiple steps between reference bit and each bit to allocate transmitted power to each of its other bits. Thus, more transmitted power should be allocated to bits which are far from their corresponding bits. In order to avoid having very small transmitted powers for bits close to the reference bit, bits whose Multi step distance is less than a certain threshold value, the same transmitted power is allowed. This algorithm uses the information from the previous step in order to adapt the step size accordingly. Statistical performance is analysed using Lab View software based on Mean, standard Deviation (STD), Variance, Mode, Skewness and Kurtosis using MDPAA method. The analysis showed a better performance using MDPAA rather than Conventional power adaptation algorithm(CPAA). Keywords-Multi step, Step Size, Mean, Mode, Kurtosis, Variance I.INTRODUCTION One of the most important and challenging goal of current and future communication is transmission of high quality multimedia like images from source to destination quickly with least error where limitation of bandwidth is a prime problem. It is very difficult to afford adequate quality of services as measured by the Root Mean Square Error (RMSE) due to the limitations imposed by the wireless communication channels such as fading and multipath propagation. Techniques are continuously being developed Maximize data throughput and efficiency in this wireless Communication systems while endeavoring to keep data loss and error to a minimum. Power Adaptation has been an effective approach to extenuate the effect of fading channels in the quality of signal transmission over wireless channels. Asst. Prof., ECE Dept., VR Siddhartha Engg. College, Vijayawada (A.P.), India , Prof. and Head of EEE, Sri Venkateswara University College of Engg. Tirupati (A.P.), India Asst. Prof., ECE Department, Vijaya Institute of Technology for Women, Vijayawada (A.P.), India, Asst. Prof., ECE Dept., VR Siddhartha Engg. College, Vijayawada The system typically involves a mechanism of measuring the quality of the channel seen by the receiver and providing such information to the transmitter to adjust the amount of transmitted power. The adaptation of power becomes even more critical with devices integrating complex multimedia processing techniques with communications. The need for dynamic adaptation of transmitted power in communication systems was first encountered in the area of satellite communications. To fulfill this, balancing (also called power balancing) algorithms were proposed by Aein [2] and Meyerhof [3] in the early 1970's.The power balancing algorithms equalize, where possible Although Systems are stochastic; the power adaptation problem leads to a purely deterministic eigen value problem or a linear equation. The Distance Power Adaptation Algorithm calculates the optimal transmission power assignment for each bit within the vector, taking into account all the neighboring bits. This paper shows that the Distance Power Adaptation Algorithm is well suited for multimedia like image and video signals, where different bits carry different amount of information. The powers for these bits are balanced using this algorithm since it takes the advantage of the both Maximum and Minimum Power. So, the power neither goes to infinity nor goes to zero. The algorithm sets upper and lower bounds for the power level to balance the power. Both the schemes specifically are optimized for minimizing the mean square error (MSE) of the image or video signal and Peak Signal to Noise Ratio (PSNR) is analyzed for quality of images. The rest of the paper is organized as follows. The noise used in this paper is AWGN .Section II presents the signal model. The Distance Power Adaptation Algorithm and Balanced Power Adaptation Algorithm is presented in section III. Section IV presents the simulation results. Finally, conclusions are drawn in section V. II. SYSTEM MODEL The system is a typical binary phase shift keying (BPSK) digital communication system for multimedia transmission. The signal is sampled, quantized and then coded into binary bits for transmission. The transmitted BPSK signal is represented as Statistical Performance Analysis of Cropped Wireless Image Transmission Using Multistep Distance Power Adaptation Algorithm and Convolution Code Rate 2/3 ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE) Volume 1, Issue 7, September 2012