Non-linear frequency estimation by non-linear estimator

• Main Authors: Jafar, Rana Hasan, Abdulsadda, Ahmad Taha
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Artificial neural networks; Estimation; Frequency response; Machine learning; Moving targets; Radar equipment; Target detection; Transfer functions
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0137281

The technique of estimating the complex frequency components of a signal in the presence of noise based on assumptions about the number of components is known as frequency estimation. The problem of frequency estimation appears when we receive a signal from a transmitter with a known frequency, and it is often in radar, sonar, etc. applications. This problem has been dealt with by various techniques and algorithms. This research shows the methods used by researchers to estimate the frequency, This paper discusses the problem of estimating the frequency between a fixed sender and receiver without movement through simulation in Matlab and using two algorithms: the first is correlation method, and the second is the Recursive least squares algorithm(RLS). The best results were obtained by changing the controller gain and filter coefficent from the internal source to the external source. Also, the transfer function was changed to several values to get the frequency response and its better estimate by changing the parameter of the transfer function.the frequency estimation is also discussed in the case of fixed transmitter and moving receiver,which were found in the radar systems with moving targets at a fixed or variable speed. Deep learning techniques were used to detect the target and estimate the frequency by using the bellows of a convolutional neural network(CNN), which proved to be more accurate than others.