Detection under Noise Using Component Improvement Strategy

Inaccuracy in signal detection due to presence of noise in signal is responsible for fading/interference, this noise needs to be reduced for optimal signal detection, and detection must be accurate enough to minimize the risk of false alarm. A noise reduction model was developed to improve signal detection using component improvement strategy. The system was implemented on MATLAB software package. It can be seen from the results that for a given probability of false alarm (PFA), the detection performance increases monotonically with the ENR based on the balanced probability of not meeting target of 0.5. It can be generally concluded from the results of the study that signal detection could be fully enhanced with the application of six sigma component-based improvement system. This is an indication that component-based sigma improvement system played a significant role in signal detection performance.