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.
