Abstract
This paper presents an algebraic method for two-dimensional (2-D) frequency estimation. The algorithm is based on multidimensional smoothing and data folding, and offers significantly improved identifiability than existing algebraic approaches, thus is termed the improved multidimensional folding (IMDF) algorithm. It is shown that with IMDF, up to approximately 0.34 M/sub 1/M/sub 2/ 2-D frequencies can be uniquely resolved with probability one from an M/sub 1/ by M/sub 2/ data mixture. The IMDF algorithm achieves automatic frequency N-dimensional frequency estimation. Simulation results demonstrate its competitive performance compared to some existing algebraic methods.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call