Electromagnetic and Statistical Approach to Improve Radar Performance in Multipath Environments

In this work, multipath exploitation in radar target detection and parameter estimation is considered. Multipath is a natural phenomenon present in almost every propagation environ- ment and affects radar problems such as urban area sensing, through the wall radar imaging, and low altitude target detection and parameter estimation. In the past thirty years multipath has been viewed as a negative effect that needs to be mitigated; researchers have developed many signal processing techniques in that regard. Recently however, our view on multipath is changing: with the proper knowledge of the environment, multipath may be considered to be an opportunity to obtain additional degrees of freedom by providing virtual radar sensors that observe the target from different aspects. Thus, multipath exploitation has been receiving more interest lately in order to achieve more robust performance and degrees of freedom in detection and estimation problems. Although there is strong evidence that one can improve detection and estimation performance in radar through multipath exploitation, the amount of improve- ment still depends on the radar-target geometry, the corresponding multipath structure and the available signal noise ratio (SNR) levels. Thus, a quantitative analysis of the target probability of detection and parameter estimation accuracy with and without multipath exploitation, the topic of this thesis, is needed in order to fully assess the performance improvement

A Fast Polarization Estimation Method With Convolutional Neural Networks

9th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2022 -- 27 June 2022 through 29 June 2022 -- -- 182210In this study, we propose a new method with an artificial intelligence infrastructure to estimate polarization of a radar signal. In modern electronic warfare and radar systems polarization of the return signal now poses essential information. Subspace-based algorithms such as MUSIC and ESPRIT have high computational costs for estimating polarization. Computational cost and performance analysis of the proposed method is conducted via simulations and results are discussed along with the existing solutions such as MUSIC algorithm. Simulation results show that the proposed algorithm reduce the computational cost compared to classical MUSIC. The proposed algorithm also reduce the polarization estimation error in low SNR scenarios. © 2022 IEEE

Improved radar target time-delay estimation with multipath exploitation

A new approach to estimate radar-target parameters in a multipath environment is presented. The novelty of this approach is that the multipath returns are exploited with prior knowledge of the propagation environment. We formulate the estimation problem on two unknown parameters [?1, ?t] and exploit multipath returns via a priori knowledge of the reflecting environment to estimate time delay ?1 and elevation angle ?t with a single sensor. It is shown that the performance of the proposed time-delay estimator has better performance than the conventional single path approach. © 2013 IEEE.Istituto Superiore Mario Boella sulle Tecnologie;dell'Informazione e delle Telecomunicazioni;IEEE Antennas and Propagation Society;Torino Wireless Foundatio