KEYWORDS: Signal to noise ratio, Smoothing, Monte Carlo methods, Interference (communication), Matrices, Signal processing, Electronics engineering, Machine vision, Computer simulations, Information science
An efficient direction of arrival estimation method for wideband uncorrelated and coherent signals is proposed with a uniform linear array. Firstly, uncorrelated signals are resolved by applying a test of orthogonality of frequency subspaces method (TOFS). Secondly, at each frequency bin, the contributions of uncorrelated signals and noise are eliminated and a new matrix is formed. Then, forward spatial smoothing technique is performed on the new matrices and coherent signals are resolved with TOFS. The method can resolve more wideband signals than the array elements. Simulation results demonstrate the effectiveness and efficiency of the method.
The variable structure multiple-model (VSMM) algorithm to passive radar maneuvering target tracking problem is
considered. A new VSMM design, expected mode augmentation based on likely model set (LMS-EMA) algorithm is
presented. The LMS-EMA algorithm adaptively determines the fixed grid model set using likely model set (LMS)
algorithm, and generates the expected mode based on this set. Then, the union of fixed grid model set and expected
model is used to perform multiple-model estimation. The performance of the LMS-EMA algorithm is evaluated via
simulation of a highly maneuvering target tracking problem.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.