STUDY AND DEVELOPMENT OF MOVING TARGET LOCATION AND RANGE ACQUIRING SYSTEM ALONG WITH GUI TO INCORPORATE IN A PROTOTYPE LOW-COST ACTIVE PHASED ARRAY RADAR.

Abstract

Radar is a detection device that employs radio waves to assess an object's distance, angle, or velocity. A Radar system comprises a transmitter that generates electromagnetic waves in the radio or microwave frequency range, a transmitting antenna, a receiving antenna, and a receiver and processor that determines the object's attributes. The object reflects radio waves from the transmitter, which return to the receiver and provide information on the object's location and speed. A phased array Radar usually means an electronically scanned array Radar, a computer-controlled array of antennas that creates a beam of radio waves that can be electronically steered to point in different directions without moving the antennas. The proposed research will provide the necessary knowledge of the cost-effective phased array Radar transmission system’s moving target location and range acquiring progress, including examining all the major subsystems via antenna principles and operation and software algorithms and simulations for search detection. The thesis was carried out to extract raw data from Infineon Technology’s Radar demo board Position2go based on the BGT24MTR12 transceiver and XMC4700 32-bit ARM® Cortex®-M4 MCU series. Using the built-in GUI of the Position2go module, raw data extraction was impossible. The system firmware was only compatible with a built-in GUI. Upon extracting the MATLAB code of the Position2go module, the IQ domain raw data could be extracted and plotted to visualise the graphical representation. From the graphical representation of IQ raw data, it was found that the graphical curve varies with the distance, angle & shape and as well as with the Approaching and Departing of the target. So with the help of this IQ raw data processed into the frequency domain and applying FFT, the distance could be measured, and by using phased FFT, the velocity could be achieved of the target, and also this raw data varies with the Departing and Approaching of the target and as well as with azimuth change. These possibilities can be distinctively identified and analysed through the graphical representation where different curve comparisons exist. The comparison ultimately leads towards the information given by the built-in GUI. And by doing extensive research on these IQ raw data of different possibilities of the target, a further developed private made GUI can be designed with the future development of this low-cost Position2go Radar module.