Design and implementation of laser missile frequency jamming system using Spatial Parallelism on FPGA for better performance and throughput

• Main Author: Omar Faez, Yousif
• Other Authors: Dr. Muataz Hameed Salih Al Doori
• Format: Thesis
• Language: English
• Published: Universiti Malaysia Perlis (UniMAP) 2019
• Subjects: System design; Parallelism mechanism; Laser missile frequency jamming system; Parallelism computing; Parallelism
• Online Access: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/62128

When a processing multiple data input at a time, exploring the parallelism mechanism is required. The spatial parallelism can provide the ability for duplicating the task for a specific module. The current Frequency Jamming systems have the ability to detect one frequency signal at a time and confront critical issue like delay in processing the signals. This delay is considered as a natural reason for the system modules architecture or in which way these signals were processed or even the computational ability of these modules. Detecting the emitted frequencies of four proposed laser missiles launchers is done in this research. Applying the spatial parallelism mechanism over the FPGA enriches the proposed system with multiple critical features. These gained features are considered as a key factor in any system failure or success like decreasing the system cost, speed up the system performance as well as increasing the system alongside with decreasing the power consumption. The entire Laser Missile Frequency Jamming system is designed and implemented on Field Programmable Gate Array (FPGA) chip. The proposed system is synthesized and evaluated based on the Nios II Embedded Evaluation Kit (NEEK). The performance of the proposed system shows scalable speedup and enhanced system performance. The implementation has achieved acceptable throughput and lower complexity (small size (2604)) logic elements in terms of FPGA resource usage and high operating frequency (200 MHz)). In addition, the structural design methodology also allows scalability of the ECCA as the entire system grows.