| Through-the-wall detection technique has a variety of potential applications in military, antiterrorism and search-and-rescue work in emergencies, and through-the-wall detection technique based on radar has been a research hotspot for a few years.This paper mainly studies the signal processing model and technique of through-the-wall radar, such as clutter suppression algorithms, moving target detection methods, radar software design and implementation.Firstly, the one-dimension radar model for signal processing technique is analyzed and classical methods in dispersion compensation, clutter suppression and radio frequency interference suppression are discussed.Secondly, the comparison and unification of classical algorithms in clutter compensation is deeply researched. Two-pulse canceler, accumulative average background subtraction and exponential moving average background subtraction are analyzed and a simple model is proposed to unite the three classical algorithms. With the algorithm model, adaptive background subtraction methods are studied. For these methods are not effective enough, this paper brings forward a novel clutter suppression algorithm in order to reduce clutter.Then, this paper has compared the classical algorithms in target detection and proposed an improved method, which makes a good performance in a certain range behind the wall. All of the algorithms in clutter compensation and target detection are based on real experimental data of through-the-wall radar investigated.Lastly, a through-the-wall radar software is designed and implemented to meet the demand of radar system for signal processing in real time. Based on virtual instrument technology and ultra-wideband through-the-wall radar experimental system, the software makes a good practical application and the scalability feature is significant for the design and optimization of the experimental system and algorithms. |