Optimizing sparse allocation for radar spectrum sharing

Increasing demand by wireless communication applications for spectrum bands predominately occupied by radar applications has led to challenging resource allocation issues in the congested spectrum environment. A new resource allocation scheme based on Marginal Fisher's Information (MFI), is proposed to address the issue of spectrum congestion. Using MFI, which in some cases is identical to integrated sidelobe level (ISL), as the optimization metric, a Sparse Spectrum Allocation algorithm is shown to optimally reallocate a sparse bandwidth while ensuring range resolution performance is maintained and minimizing the degradation in sidelobe performance.