Conventional FMCW radar principle was implemented on Symeo 61 GHz LPR®-1DHP-R radar sensor system. There were few limitations of the FMCW implementation which needed to be removed. First, target separation in multi target environment was not possible for objects at same distance. For example, there are two targets, one is moving and one is static. When the moving target approaches the static target and becomes parallel to static target, which means they are at the same distance. At this point, the system is unable to distinguish between two targets. Second, high resolution in velocity measurement was needed. To overcome these limitations Range Doppler Signal Processing was proposed. For the implementation of the Range Doppler algorithm, first of all proof of concept is needed. Simulations are performed using MATLAB to simulate Range Doppler algorithm using raw data from the sensor. After successful simulation, prototype is developed using python. This also provides the real time visualization of Range Doppler signal processing along with peak detection with distance and velocity measurements. With the Range Doppler implementation, separation between static and moving target becomes possible. Later the algorithm is implemented on Texas Instrument DSP in C considering the resource limitations of the target hardware. To validate the Range Doppler implementation and to determine the measurements accuracy, multiple test setups are created. Two main local testing environments have been setup, linear unit and turntable. The system is tested on these environments for different velocities and distances along with multiple targets and on different surfaces. Furthermore, the system is tested at an industrial site for detecting the fluid speed, which is also possible with the Range Doppler implementation.

Conventional FMCW radar principle was implemented on Symeo 61 GHz LPR®-1DHP-R radar sensor system. There were few limitations of the FMCW implementation which needed to be removed. First, target separation in multi target environment was not possible for objects at same distance. For example, there are two targets, one is moving and one is static. When the moving target approaches the static target and becomes parallel to static target, which means they are at the same distance. At this point, the system is unable to distinguish between two targets. Second, high resolution in velocity measurement was needed. To overcome these limitations Range Doppler Signal Processing was proposed. For the implementation of the Range Doppler algorithm, first of all proof of concept is needed. Simulations are performed using MATLAB to simulate Range Doppler algorithm using raw data from the sensor. After successful simulation, prototype is developed using python. This also provides the real time visualization of Range Doppler signal processing along with peak detection with distance and velocity measurements. With the Range Doppler implementation, separation between static and moving target becomes possible. Later the algorithm is implemented on Texas Instrument DSP in C considering the resource limitations of the target hardware. To validate the Range Doppler implementation and to determine the measurements accuracy, multiple test setups are created. Two main local testing environments have been setup, linear unit and turntable. The system is tested on these environments for different velocities and distances along with multiple targets and on different surfaces. Furthermore, the system is tested at an industrial site for detecting the fluid speed, which is also possible with the Range Doppler implementation.