Study And Implementation Of The Waveform Similarity Algorithm For A Seeker-Ecabin

Seeker-eCabin is the kernel part of a missile. Its capability impacts the holistic performance of the missile. So, it is very important to do eligibility detections on the seeker-eCabin products. There are some shortcomings on the signal waveform test for the current detection system of seeker-eCabin, so the accuracy and automation of the test have been adversely affected. Lots of similarity algorithms based on time domain, frequency domain and characteristic informations of the waveforms is studied in this paper, and a new waveform similarity comprehensive algorithm is proposed. Moreover, a design scheme of waveform testing system is introduced.For the study of waveform similarity algorithm, the waveforms of seeker-eCabin have the characteristics of complexity, types diversity and high testing accuracy requirements, and the comprehensive algorithm based on wavelet analysis is proposed in this paper. It takes into account the time domain and frequency domain information of waveforms. Combining Euclidean distance and energy match method, the similarity between product waveforms and template waveforms is fully calculated based on residual value, energy, cycle and peak to peak amplitude of the waveforms. Furthermore, the problem of phase alignment has been solved by sliding window algorithm. Experimental results show that the comprehensive algorithm has an effective discrimination of waveform similarity. It solves the problem of complicated waveforms similarity measuring and completely meets the demand of the automatic detection system of seeker-eCabin.The concrete implementation of a waveform test system is expounded, including the hardware platform implementation, BootLoader migration, cutting and migration of embedded Linux kernel, design of the hardware drivers, building root file system, application development based on Qt/Embedded and other embedded system development techniques.