Cooperative Electromagnetic Data Annotation via Low-Rank Matrix Completion

Electromagnetic data annotation is one of the most important steps in many signal processing applications, e.g., radar deinterleaving and mode analysis. This work considers cooperative electromagnetic from multiple reconnaissance receivers/platforms. By exploiting inherent correlation signal, as well observations receivers, a low-rank matrix recovery formulation proposed for problem. Specifically, considering measured parameters same emitter should be roughly at different platforms, modeled problem, which solved iteratively either by rank minimization method or maximum-rank decomposition method. A comparison two methods, with traditional on both synthetic real data, given. Numerical experiments show that methods can effectively recover missing annotations correct errors.