Least square image reconstruction method for sparse array radar system

摘要

We demonstrate a method to arrange antennas for the 2-D sparse array system for 3-dimensional imaging for NDI application. A radar system consists from eight transmitters and eight receivers. It uses principle of uniformly distributed middle points between each pair of transmitter and receiver antennas to form equilateral triangles from them. Least square method as the image reconstruction method is implemented with support of calculations on graphical processor unit. Mathematical description of data preparation for the L2 norm fitting is shown. 8 transmitter and 8 receiver antennas were arranged on 2-D array of 60cm × 60cm area, and image reconstruction method were tested by a SFCW radar, that operates at frequency from 3814 MHz to 8067 MHz. From the images we obtained, we can distinguish target in 1m × 1m area with a resolution about 5 cm.