De-interleaving of Radar Pulses for EW Receivers with an ELINT Application

De-interleaving is a critical function in Electronic Warfare (EW) that has not received much attention in the literature regarding on-line Electronic Intelligence (ELINT) application. In ELINT, on-line analysis is important in order to allow for efficient data collection and for support of operational decisions. This dissertation proposed a de-interleaving solution for use with ELINT/Electronic-Support-Measures (ESM) receivers for purposes of ELINT with on-line application. The proposed solution does not require complex integration with existing EW systems or modifications to their sub-systems. Before proposing the solution, on-line de-interleaving algorithms were surveyed. Density-based spatial clustering of applications with noise (DBSCAN) is a clustering algorithm that has not been used before in de-interleaving; in this dissertation, it has proved to be effective. DBSCAN was thus selected as a component of the proposed de-interleaving solution due to its advantages over other surveyed algorithms. The proposed solution relies primarily on the parameters of Angle of Arrival (AOA), Radio Frequency (RF), and Time of Arrival (TOA). The time parameter was utilized in resolving RF agility. The solution is a system that is composed of different building blocks. The solution handles complex radar environments that include agility in RF, Pulse Width (PW), and Pulse Repetition Interval (PRI)

A Decade of Neural Networks: Practical Applications and Prospects

The Jet Propulsion Laboratory Neural Network Workshop, sponsored by NASA and DOD, brings together sponsoring agencies, active researchers, and the user community to formulate a vision for the next decade of neural network research and application prospects. While the speed and computing power of microprocessors continue to grow at an ever-increasing pace, the demand to intelligently and adaptively deal with the complex, fuzzy, and often ill-defined world around us remains to a large extent unaddressed. Powerful, highly parallel computing paradigms such as neural networks promise to have a major impact in addressing these needs. Papers in the workshop proceedings highlight benefits of neural networks in real-world applications compared to conventional computing techniques. Topics include fault diagnosis, pattern recognition, and multiparameter optimization

Fast and accurate trajectory tracking control of an autonomous surface vehicle with unmodeled dynamics and disturbances

In this paper, fast and accurate trajectory tracking control of an autonomous surface vehicle (ASV) with complex unknowns including unmodeled dynamics, uncertainties and/or unknown disturbances is addressed within a proposed homogeneity-based finite-time control (HFC) framework. Major contributions are as follows: (1) In the absence of external disturbances, a nominal HFC framework is established to achieve exact trajectory tracking control of an ASV, whereby global finitetime stability is ensured by combining homogeneous analysis and Lyapunov approach; (2) Within the HFC scheme, a finite-time disturbance observer (FDO) is further nested to rapidly and accurately reject complex disturbances, and thereby contributing to an FDO-based HFC (FDO-HFC) scheme which can realize exactness of trajectory tracking and disturbance observation; (3) Aiming to exactly deal with complicated unknowns including unmodeled dynamics and/or disturbances, a finite-time unknown observer (FUO) is deployed as a patch for the nominal HFC framework, and eventually results in an FUO-based HFC (FUOHFC) scheme which guarantees that accurate trajectory tracking can be achieved for an ASV under harsh environments. Simulation studies and comprehensive comparisons conducted on a benchmark ship demonstrate the effectiveness and superiority of the proposed HFC schemes

Computational intelligence approaches to robotics, automation, and control [Volume guest editors]

No abstract available

Strategic Landscape, 2050: Preparing the U.S. Military for New Era Dynamics

A series of megatrends will present a major challenge to the United States in the coming decades, exposing it to crises and opportunities on the battlefield and in the market. The U.S. military should stand ready to harness these dynamics to retain its edge in an operational environment marked by increased complexity, speed, and intensity of global developments.https://press.armywarcollege.edu/monographs/1405/thumbnail.jp

The Formation of Proxy Force and External State Relationships: Prospect Theory and Proxy Force Decision Making

Proxy war is a common tactic employed by great powers as a safer alternative to direct conflict, especially in the era of nuclear weapons. While proxy war is common, there is a lack of research on the formation of proxy-external state relationships. Previous research has typically examined the phenomena of proxy war through the perspective of the external state power, leaving a gap in the literature. This dissertation fills that gap by assessing the conditions under which armed groups enter into proxy relationships with external states. Using prospect theory as a framework for understanding more clearly armed group decision making (an original approach theoretically), Fuzzy Set Qualitative Comparative Analysis as a testing methodology, existing intrastate warfare data sets and 10 individual proxy relationship case studies, this study finds that armed groups enter into proxy force relationships with external state powers when they are in a domain of losses and are risk accepting. Furthermore, the dissertation identifies two standalone significant risk conditions and six risk condition recipes which effect armed group domain and increase the likelihood of a proxy relationship outcome. As the international system continues down the path of multipolarity, proxy wars will likely increase as an alternative to direct conflict between great powers. A thorough understanding of the phenomena will be of great importance to academia and policy practitioners in the United States alike

Unmanned Systems Sentinel / 24 June 2016

Approved for public release; distribution is unlimited

China\u27s Strategic Nuclear Decision Making During Crisis

The goal of this paper was to determine if the Soviet Union\u27s reaction to the Cuban Missile Crisis would be similar to the People\u27s Republic of China\u27s reaction to a crisis situation involving strategic nuclear assets. This was done taking into account the differences in Eastern and Western cultures, each government\u27s decision making structures, and the differences between the past and present situations. The result is a set of recommendations to the Naval War College on the effectiveness of this method