Implementation of HASPA algorithm for multiple antenna based RADAR signal processing

Specific algorithm simplifies the critical hardware requirement for smart signal processing applications. HASPA is such supervised ANN learning algorithm that specifically designed for multiple antenna based RADAR signal processing. The algorithm is based on the principle of spatial hearing of the Human Auditory Signal Processing System. In the processor, received signal from multiple sources are converted into compatible format and then suitably compared with themselves and with restored training sources. From the output data of the processor, different conclusions are made about the signal sources. The algorithm has been implemented in three steps with Linux Ubuntu based FORTRAN media and tested with the received signals of multiple antenna based tracking system. Test procedure and results have been presented and found to be satisfactory.