• delay
• estimation
• MIMO
• radar
• systems

The use of radars is rapidly increasing and expanding in many fields due to the
potential benefits and technological improvements. These technological advancements are enabled by complex devices that
nowadays are much cheaper than those available a few years ago and the
development of powerful signal processing methods. In this scenario MIMO radars have the potential to mimic the performance of more expensive traditional systems but at
substantially lower costs. These systems can provide high angular resolution
and adequate imaging quality according to the MIMO arrangement of phased
array antenna elements and the employed signal processing technique. The purpose of signal processing in this field is the improvement of the various figures of merit that characterize the detection and tracking ability of a radar. The choice of the
processing algorithm must take into account many aspects such as the
reliability of the results, the resolution in the \emph{direction of arrival}
(DOA) and range, and the time needed to process data. In this work will be presented the working principle of some of the main target detection algorithms present in the literature and also the numerical results of their implementations using MATLAB tool. The algorithms have been tested on data taken by Vayyar's commercial MIMO radars in real scenarios.The introductory part of this work is aimed at giving an idea about the state of art of the radars and their uses. Then the mathematical model of the data will be shown, which is the form of the output of the devices used in the tests; that model is the one used for the development of the codes. Successively the theory of the various algorithms will be presented and also the modifications used in the code development phase to reduce the calculations or improve the resolution. Then a chapter dedicated to the exposition of the results of each algorithm, the aim is the identification of the one achieving the best trade-off between algorithm complexity and target finding capability. The overall goal is developing efficient
algorithms able to interpret the data provided by commercial MIMO radars, in
agreement with the geometrical shape of the antenna array, and to accurately
estimate the location parameters of the illuminated objects. That's the reason why a section of the results is dedicated to the comparison between the code's output and the position measurements acquired manually, in order to verify the accuracy of the algorithms. Then a conclusion part that summarize all the work and explain what are the problems encountered and the possible improvements.

The use of radars is rapidly increasing and expanding in many fields due to the potential benefits and technological improvements. These technological advancements are enabled by complex devices that nowadays are much cheaper than those available a few years ago and the development of powerful signal processing methods. In this scenario MIMO radars have the potential to mimic the performance of more expensive traditional systems but at substantially lower costs. These systems can provide high angular resolution and adequate imaging quality according to the MIMO arrangement of phased array antenna elements and the employed signal processing technique. The purpose of signal processing in this field is the improvement of the various figures of merit that characterize the detection and tracking ability of a radar. The choice of the processing algorithm must take into account many aspects such as the reliability of the results, the resolution in the \emph{direction of arrival} (DOA) and range, and the time needed to process data. In this work will be presented the working principle of some of the main target detection algorithms present in the literature and also the numerical results of their implementations using MATLAB tool. The algorithms have been tested on data taken by Vayyar's commercial MIMO radars in real scenarios.The introductory part of this work is aimed at giving an idea about the state of art of the radars and their uses. Then the mathematical model of the data will be shown, which is the form of the output of the devices used in the tests; that model is the one used for the development of the codes. Successively the theory of the various algorithms will be presented and also the modifications used in the code development phase to reduce the calculations or improve the resolution. Then a chapter dedicated to the exposition of the results of each algorithm, the aim is the identification of the one achieving the best trade-off between algorithm complexity and target finding capability. The overall goal is developing efficient algorithms able to interpret the data provided by commercial MIMO radars, in agreement with the geometrical shape of the antenna array, and to accurately estimate the location parameters of the illuminated objects. That's the reason why a section of the results is dedicated to the comparison between the code's output and the position measurements acquired manually, in order to verify the accuracy of the algorithms. Then a conclusion part that summarize all the work and explain what are the problems encountered and the possible improvements.