Pattern synthesis in three-dimensional (3D) opportunistic array radar becomes complex when a multitude of antennas are considered to be randomly distributed in a 3D space. To obtain an optimal pattern, several freedoms must be constrained. A new pattern synthesis approach based on the improved genet
Radar target recognition using least squares estimate
β Scribed by Joon-Ho Lee; Hyo-Tae Kim
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 195 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0895-2477
- DOI
- 10.1002/mop.1335
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
A new scheme for radar target discrimination which is independent of an aspect angle is proposed in the frequency domain. A system of linear equations is constructed using the frequency response of an unknown target and stored natural frequencies of a particular target. Whether an unknown target is a particular target or not is determined using the defined least squares estimate or the normalized estimation error. The validity of the method is shown using the methodβofβmoments (MM) frequency response.βΒ© 2001 John Wiley & Sons, Inc. Microwave Opt Technol Lett 30: 427β434, 2001.
π SIMILAR VOLUMES
Hammett constants describe the electronic donating or withdrawing capabilities of a given substituent. Since Hammett constants represent information of an electronic nature, their values are to be linked with atomic charges and orbital-derived parameters of the atoms of the substrate bearing the sub
We develop an ordinary least squares estimator of the long-memory parameter from a fractionally integrated process that is an alternative to the Geweke and Porter-Hudak (1983) estimator. Using the wavelet transform from a fractionally integrated process, we establish a log-linear relationship betwee
## Abstract Different approaches for the calculation of prediction intervals of estimations obtained in multivariate curve resolution using alternating least squares optimization methods are explored and compared. These methods include Monte Carlo simulations, noise addition and jackknife resamplin