Name
Title | ||
|---|---|---|
New Results on Fractional QCQP with Applications to Radar Steering Direction Estimation |
Abstract | ||
|---|---|---|
This letter considers constrained steering direction estimation in the presence of additive Gaussian disturbance. The uncertainty region is modeled through double-sided quadratic constraints (up to three) and the Maximum Likelihood (ML) criterion is adopted to get the direction estimator. It is shown that the considered formulation leads to a fractional Quadratically Constrained Quadratic Program (QCQP) whose solution can be computed in polynomial time via semidefinite programming relaxation, Charnes-Cooper transformation, and suitable rank-one decomposition tools. At the analysis stage, with reference to a specific constraint set, the performance of the devised estimator is compared with the constrained Cramer Rao lower Bound (CRB). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LSP.2014.2320300 | Signal Processing Letters, IEEE |
Keywords | Field | DocType |
Gaussian noise,array signal processing,maximum likelihood estimation,quadratic programming,radar signal processing,Charnes-Cooper transformation,Cramer Rao lower bound,additive Gaussian disturbance,double-sided quadratic constraints,fractional QCQP,maximum likelihood criterion,quadratically constrained quadratic program,radar steering direction estimation,rank-one decomposition,semidefinite programming relaxation,uncertainty region,Constrained maximum likelihood steering direction estimation,fractional QCQP with three double-sided constraints | Cramér–Rao bound,Mathematical optimization,Quadratically constrained quadratic program,Quadratic equation,Gaussian,Estimation theory,Time complexity,Maximum likelihood sequence estimation,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
21 | 7 | 1070-9908 |
Citations | PageRank | References |
2 | 0.42 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio De Maio | 1 | 721 | 48.03 |
| Yongwei Huang | 2 | 814 | 50.83 |