In this paper, we propose novel $l_1$-regularized space-time adaptive processing (STAP) algorithms with a generalized sidelobe canceler architecture for airborne radar applications. The proposed methods suppose that a number of samples at the output of the blocking process are not needed for sidelobe canceling, which leads to the sparsity of the STAP filter weight vector. The core idea is to impose a sparse regularization ($l_1$-norm type) to the minimum variance criterion. By solving this optimization problem, an $l_1$-regularized recursive least squares ($l_1$-based RLS) adaptive algorithm is developed. We also discuss the SINR steady-state performance and the penalty parameter setting of the proposed algorithm. To adaptively set the penalty parameter, two switched schemes are proposed for $l_1$-based RLS algorithms. The computational complexity analysis shows that the proposed algorithms have the same complexity level as the conventional RLS algorithm $(O((NM)^2))$, where $NM$ is the filter weight vector length), but a significantly lower complexity level than the loaded sample covariance matrix inversion algorithm $(O((NM)^3))$ and the compressive sensing STAP algorithm ($O((N_sN_d)^3)$, where $N_sN_d > NM$ is the angle-Doppler plane size). The simulation results show that the proposed STAP algorithms converge-
rapidly and provide a SINR improvement using a small number of snapshots.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Real-Time Trajectory Planning for Autonomous Urban Driving: Framework, Algorithms, and VerificationsABSTRACT:This paper focuses on the real-time trajectory planning downside for autonomous vehicles driving in realistic
PROJECT TITLE :Euclidean Distance Matrices: Essential theory, algorithms, and applicationsABSTRACT:Euclidean distance matrices (EDMs) are matrices of the squared distances between points. The definition is deceivingly simple;
PROJECT TITLE :5G Multi-RAT LTE-WiFi Ultra-Dense Small Cells: Performance Dynamics, Architecture, and TrendsABSTRACT:The ongoing densification of little cells yields an unprecedented paradigm shift in user expertise and network
PROJECT TITLE :Distributed Iterative Thresholding for $ell _/ell _$ -Regularized Linear Inverse ProblemsABSTRACT:The $ell _0/ell _1$ -regularized least-squares approach is used to accommodate linear inverse issues underneath
PROJECT TITLE:Internet of Things in the 5G Era: Enablers, Architecture, and Business ModelsABSTRACT:The IoT paradigm holds the promise to revolutionize the manner we live and work by means that of a wealth of latest services,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry