Abstract:
Wireless communication field is in continuous enhancement. Modern receivers and transmitters play an important role in the transmission process. They must be simple but more reliable to handle different applications. This Thesis concerned with simulating NOAA Microsatellite transmission. There are many types of signals that affect the satellite communication which is a transmission of data through wireless channel. The noise is the most common problem facing the satellite. The communication here will have high bit error rate, and hence high power consumption. In addition, many power saving methods were developed each has its own performance. That makes it difficult to use the suitable one. The microsatellite has been proposed as a solution to overcome the high power consumption with the use of two different models to be compared with Saleh model that reduce the BER value.
The performance of the system is analyzed by the error probability called Bit Error Rate (BER) along with calculating the system capacity, throughput and delay time. The simulation was performed and successfully tested using three main different models which are: Saleh model, Rapp model and cubic polynomial model. The simulation results of the system resemble very good performance and it was found that the Saleh model is the best method used that uses low power to optimize the transmission, and the delay time.
