Application of Complex Wavelets in radar signal processing

The present paper discusses the complex wavelet based signal processing techniques for the meteor detection. Firstly the signal containing meteor is processed with the wavelet based noise level estimation technique, which will improve SNR of the signal and improves the probability of detection of weak meteors. Secondly, complex wavelets (constructing filter banks based on Hilbert transform concept) that allow detecting certain parameters related to different Doppler frequency components. When the parameters exceed a certain threshold, it indicates that the meteor is detected. Meteor detection function (MDF) is defined using the above stated techniques. MDF gives the meteor count, Time of occurrence, meteor scan number. MDF is a unique function and it is very useful in astronomical studies. The advantages of this method are directly derived from the limitations of the existing methods. A great improvement in the characteristics of the meteor events is observed when processed with complex wavelet based signal processing techniques. Experimental results showed an increase in the detection of meteor events compared to the traditional method - which uses the spectrum (frequency domain) data. No need of intense observation on the data for threshold setting, the effect of dasianoisepsila and dasiainterferencepsila is also reduced to a great extent.