Research On Single Channel GFP Planar Imaging System Based On Compressed Perception Theory

Millimeter wave that can penetrate mist and smoke of the battlefield has been widely used in remote sensing, security monitoring, the battlefield reconnaissance, guided navigation and other fields. To get a higher system resolution of passive millimeter wave detection, a useful way is to add more receiver, this no doubt increased the system cost.In recent years, a theory of compressed sensing(CS) has emerged in the world, which makes use of the prior information of signal sparse so that it break the traditional Nyquist sampling rate. CS has great potential in reducing system cost and increasing the imaging system performance in the field of passive millimeter wave imaging. In this paper, we present the method of passive millimeter wave imaging using a CS architecture that use only one sensor. This method can significantly reduce the system complexity. Paper main content is as follows:First of all, this paper briefly introduce the research significance and the present development situation of the passive millimeter wave imaging technique and the compressed sensing theory. Then the basic theory of millimeter wave imaging and the CS theory are introduced in detail.In the next place, this paper expound the basic content of CS theory and analysis the sparse transform of the millimeter wave image, measurement matrix and signal recovery algorithm. Then this paper proposed a modified forms of hadamard matrix based on cyclic matrix.Finally, this paper proposes a framework of signal channel based on compressed sensing theory focal plane of the radiometer imaging system and do some simulation experiments about this imaging system.