Improving performance in pulse radar detection using neuralnetworks

A new approach using a multilayered feed forward neural network for pulse compression is presented. The 13 element Barker code was used as the signal code. In training this network, the extended Kalman filtering (EKF)-based learning algorithm which has faster convergence speed than the conventional backpropagation (BP) algorithm was used. This approach has yielded output peak signal to sidelobe ratios which are much superior to those obtained with the BP algorithm. Further, for use of this neural network for real time processing, parallel implementation of the EKF-based learning algorithm is indispensable. Therefore, parallel implementation has also been developed     

Space technology in developing nations: an assessment

Space technology can make an immense contribution to solving the problems of the world as a whole, and the developing nations in particular. This report summarizes the use of satellites by developing countries in the fields of communications, remote sensing, disaster management and space science. India and China, in particular, have built up impressive capabilities in several of these areas, but the great majority of developing countries still do not have access to this technology. The author addresses a number of proposals to the international community for bringing the satellite revolution to the developing world.