The aim of this paper is to explore the binary sequences with high discrimination using Particle Swarm Optimization with Cauchy Mutation (PSOCM) technique. The cross-ambiguity function method is used to detect the stationary and moving targets in various target detection scenarios. The contour plots of the cross-ambiguity function are computed as a function of delay and Doppler frequency shift....

Abstract AD-MUSIC is introduced to near-field to investigate the bearing and range estimation for the mixed source localization of sinusoidal signal and LFM signal. Firstly, a near-field two-dimensional MUSIC method based on ambiguity function distribution is put forward. Further, a novel Root-MUSIC method which constructs two ambiguity function distribution matrices is proposed for near-field ...

—This paper proposes a novel algorithm of parameter dynamic estimation in near-field Bistatic Multiple-Input Multiple-Output (MIMO) Radar. When a target lies in the nearfield region, the near-field wavefront is spherical, and the plane waves assumption is no valid. The existing methods and signal model based on the far-field assumption are not applicable to this situation. In this paper, we pr...

Welcomed as a milestone in the governance of transnational migration, adoption Global Compact for Safe, Orderly, and Regular Migration marked significant step forward international cooperation on migration governance. Through critical evaluation its normative structural features, this paper evaluates strengths, weaknesses, tensions contradictions within compact. It finds that compact is by inno...

Male secondary school rugby players (N 271) participated in a study examining role ambiguity, role efficacy, and role performance. A multidimensional measure was used to assess 4 manifestations of role ambiguity in offensive and defensive contexts. Multiple role ambiguity dimensions explained variance in efficacy and performance. Consistent with theorizing by A. Bandura (1997) and R. L. Kahn, D...

The ?-MEU model and the smooth ambiguity are two popular models in decision making under ambiguity. However, axiomatic foundations of these not completely understood. We provide a symmetric setting with product state space S?. This allows marginals over S to be linked behaviorally (limiting frequency) events. Bets on such events shown reveal i.i.d. measures that relevant for maker's preferences...