Robust Chance Constrained Power Allocation Scheme for Multiple Target Localization in Colocated MIMO Radar System - 2018 PROJECT TITLE :Robust Chance Constrained Power Allocation Scheme for Multiple Target Localization in Colocated MIMO Radar System - 2018ABSTRACT:Taking into consideration the probabilistic uncertainty on the target radar cross section (RCS) parameter, a robust likelihood constrained power allocation (RCC-PA) theme is presented for multiple target localization in colocated multiple-input multiple-output radar system. Such a system adopts a multibeam working mode, in which multiple simultaneous transmit beams are synthesized to illuminate multiple targets independently. We formulate the RCC-PA problem into a likelihood constrained programming model, where the whole power consumption of the multiple beams is minimized to meet a specified multitarget localization accuracy demand with high likelihood. Varied target RCS fluctuation models are mentioned with different sorts of probability distributions. We have a tendency to analytically show that the chance constrained programming problem for each RCS fluctuation model can equivalently be formulated as a deterministic convex optimization problem. Then, by formulating the Karush-Kuhn-Tuckers conditions, we tend to transform the convex optimization problem into a nonlinear equation solving problem, and then solve it by using the bisection method. Simulation results show that our RCC-PA scheme will enhance the facility utilization potency, and is more sturdy than the prevailing deterministic PA schemes. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Relay Hybrid Precoding Design in Millimeter-Wave Massive MIMO Systems - 2018 Sequential Audio-Visual Correspondence With Alternating Diffusion Kernels - 2018