Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Computationally efficient parameter estimation for harmonic sinusoidal signals
Signal Processing - Special issue on current topics in adaptive filtering for hands-free acoustic communication and beyond
Automotive Control Systems: For Engine, Driveline and Vehicle
Automotive Control Systems: For Engine, Driveline and Vehicle
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Brief paper: Simultaneous estimation of the input and output frequencies of nonlinear systems
Automatica (Journal of IFAC)
IEEE Transactions on Signal Processing
Hi-index | 35.68 |
In this correspondence, the problem of estimating the intermodulated frequencies of sinusoidal signals with unknown fundamental frequencies is investigated. It is shown that by formulating the intermodulation structure as a constraint in the estimation of these frequencies, a smaller Cramer-Rao lower bound (CRLB) can be obtained, that is, a more accurate estimate of these frequencies can be obtained. The steps in the proposed estimation procedure are i) obtaining initial estimate of the frequencies using existing methods, ii) establishing the intermodulation structure from the initial estimate of the frequencies, and iii) refining the initial estimate using the intermodulation structure. The implementation and performance of the proposed estimation procedure is demoustrated by a simulation example.