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In the recent years Space Time Block Coding has attracted the attention of the research community in the quest of optimizing the use of the bandwidth to support today's wireless communications applications. To achieve this aim, STBC exploits the spatial diversity. However, complexity challenges exacerbate when more than two transmit and more than one receive antennas are used. This paper presents the implementation of a low-complexity Maximum Likelihood (ML) decoding complexity of the Double Alamouti 4x2 STBC. The design exploits and takes advantage of the enhanced processing capability of an FPGA to achieve this aim. The scheme was first coded in MATLAB, then in ModelSim. Both MATLAB and VHDL performance results have been presented in terms of Symbol Error Rate (SER) versus Signal to Noise ratio (SNR) for 4-QAM.

This paper presents a review of recent developments in the area of STBC decoding particularly parallel decoding of full-rate full-diversity STBCs toward real-time 4G wireless communications. After reviewing some parallel STBC decoding techniques and presenting one of the most promising types of parallel processors suitable for the 4G SDR the SIMD processor, the paper shows that parallel decoding of the Golden Code on the ClearSpeed CSX700 SIMD processor achieves a speedup of up to 30 times. The paper highlights the potential to achieve real-time decoding of high-rate STBCs with the use of robust parallel processors.

The Relative Coordinate Rumor Routing (RCRR) is a hybrid routing protocol based on a straight line routing scheme proposed to overcome the drawbacks of the Rumor Routing (RR) protocol which is based on a random walk approach. This paper presents a performance study of the RCRR protocol for Wireless Sensor Networks. The main objective is to evaluate the performances of the new RCRR protocol under different situations and considering different factors such as network size or the impact of the positions of the Beacon nodes originally placed along the horizontal and the vertical line of the 4 cardinal points. Through the presented scenarios and simulations, it is shown that the energy consumption is much more in some cases and much less in other cases. Based on this study, guidelines can be deduced to improve the behavior of the RCCR routing protocol.

This paper proposes a method for monitoring the position of a vehicle on a lane. Cameras are mounted on the sides of vehicle and focus downwards on the road to capture images containing the lane lines and wheels/vehicle boundaries. The Hough transform (HT) is employed to detect the lane from the captured images. The correlation of sequential images and the constraints of lane lines and cameras are used to minimize the region of interest (RoI) in both image space and HT space, which increases the capture accuracy and decrease the computation complexity. The lane position monitoring system is assumed to be useful for unmanned vehicles, and can also provide warmings in normal vehicles to enhance driving safety. The experiments show the method is effective on various roads and driving situations.