The Experts below are selected from a list of 516 Experts worldwide ranked by ideXlab platform

David A. Warde - One of the best experts on this subject based on the ideXlab platform.

H. D. Griffiths - One of the best experts on this subject based on the ideXlab platform.

  • Tracking parameter control in Multifunction Radar network incorporating information sharing
    2016 19th International Conference on Information Fusion (FUSION), 2016
    Co-Authors: H. Sherwani, H. D. Griffiths
    Abstract:

    This paper explores the challenges of tracking parameter control within a Multifunction Radar network consisting of active as well as passive nodes. The performance of a Multifunction Radar is limited by its ability to manage its resource. Hence, for a network to realise its full potential it must base its resource management decisions on the aggregated perception of the environment from all the nodes. The aggregation of perception is facilitated by a novel concept of information sharing which aims to delegate a given task to the best suited sensor within the network. The resource management problem for a network is formulated and treated as an optimisation problem. In comparison to a single monostatic node, due to the concept of information sharing, the network is shown to utilise the resources more efficiently which potentially results in a superior tracking performance.

  • agent based Multifunction Radar surveillance control
    IEEE Radar Conference, 2011
    Co-Authors: Alexander Charlish, Karl Woodbridge, H. D. Griffiths
    Abstract:

    This paper introduces the continuous double auction parameter selection algorithm (CDAPS) which manages Multifunction Radar resource by utilising an auction mechanism to select parameters for individual Radar tasks. The mechanism enables numerous localised agents representing tasks to globally optimise the resource utilisation objective. The algorithm is demonstrated on a long range surveillance control problem and compared to a conventional rule based approach. CDAPS offers a significant improvement by providing an emergent global optimisation of task quality. The continuous nature of the algorithm enables adaptation to a potentially complex and dynamic scenario. Additionally, the algorithm balances the time budget to produce graceful degradation and is implemented in real time.

  • comparison of scheduling algorithms for Multifunction Radar
    Iet Radar Sonar and Navigation, 2007
    Co-Authors: S L C Miranda, Chris J Baker, K Woodbridge, H. D. Griffiths
    Abstract:

    The management of Radar resources in a Multifunction Radar is central to unlocking the potential offered by electronic scanning. Scheduling is an important sub-problem of Radar resource management because of the strong correlation between how tasks should be performed, as well as the time available to carry them out and their timeliness. Two scheduling algorithms previously reported in the literature are compared in order to investigate differences in their performance. This provides new insights which may be invaluable in the development of future optimal schedulers. A detailed model of a Multifunction Radar has been developed to enable comparison using the same operational conditions. The Radar is assumed to operate in both ‘underload’ and ‘overload’ situations. When not fully loaded (i.e. underload), the two scheduling algorithms perform in significantly different ways. However, in the more important case of overload situations, where there are insufficient Radar resources to carry out all necessary tasks, both algorithms provide similar performance. Nevertheless, there still remain differences that require careful understanding when selecting the most appropriate scheduler.

  • Multifunction Radar resource management
    In: Knowledge-Based Radar Detection Tracking and Classification. (pp. 225-263). (2007), 2007
    Co-Authors: S L C Miranda, Chris J Baker, K Woodbridge, H. D. Griffiths
    Abstract:

    Electronic scanning is set to become the norm for future Radar systems. This brings about many advantages such as the ability to re-point the Radar beam at will, to dwell in order to optimize detection, tracking, and classification, and to adjust spatial sensitivity to cope with sources of interference. It is nowthe Radar that has to make many of the decisions previously carried out by a human, and this must be done on much faster and possibly pulseby-pulse basis. This therefore gives rise to the question, "How does the Radar make these decisions in order to maximize the potential offered by electronic scanning?" The answer requires the Radar to move towards a degree of intelligence in the way processing is carried out; it needs to utilize maximum prior knowledge and must arrive at robust solutions to problems such as multitarget tracking, and so on. In this chapter we examine part of the answer to this question by comparing the performance of scheduling methods and of hard and soft logic approaches to theway in which volumes of surveillance space are prioritized. Examples are given for a generic naval Radar system that has to cope with a number of evolving tasks to show the effects of the differing approaches. © 2008 John Wiley & Sons, Inc.

  • fuzzy logic approach for prioritisation of Radar tasks and sectors of surveillance in Multifunction Radar
    Iet Radar Sonar and Navigation, 2007
    Co-Authors: S L C Miranda, Chris J Baker, K Woodbridge, H. D. Griffiths
    Abstract:

    The effective allocation of Radar resources is essential if Multifunction Radars are to realise their full potential. In the most stressing conditions, there will be insufficient resources to carry out all the desired Radar functions. Therefore the ranking of Radar tasks is an important sub-problem for Radar resource management, particularly as resource allocation is likely to be based on the relative importance of Radar tasks. The development of an adaptive prioritisation assignment, fuzzy-reasoning-based algorithm used for ranking targets and sectors of surveillance in dynamically changing tactical environments has been addressed. The performance of this approach is compared with that of other prioritisation methods based on more conventional `hard decision logic' and simple fixed prioritisation.

Galati G - One of the best experts on this subject based on the ideXlab platform.

  • Scheduling Methods for a Conformal, Phased Array Multifunction Radar
    Institute of Research Engineers and Doctors USA, 2015
    Co-Authors: Galati G, Eg Piracci
    Abstract:

    This paper presents a method for the scheduling of a Multifunction Radar based on an active phased array of the conformal type (frustum of cone). This type of antenna obtains a 360 degrees horizontal coverage by a number M of sectors each one belonging to a sub-array, where different non overlapping sub-arrays can illuminate different targets at the same time. This operation has both the advantages of a rotating antenna and those of the electronic scan of a fixed-faces Multifunction Radar. In this context, a scheduling algorithm has to organize a number of parallel Radar tasks respecting the constrains on the update intervals. The goal is to implement a scheduling algorithm for a system quite similar to a fixed-faces Multifunction phased array Radar, with the significant difference that the faces number and pointing directions are variable and adaptive to the scenario. An optimization model is presented and then a heuristic models is discussed with some computational results

  • Time for a change in phased array Radar architectures-part II: The d-Radar
    IEEE, 2015
    Co-Authors: Galati G, Madia F, Carta P, Eg Piracci, Franco S, Quattrociocchi S
    Abstract:

    A novel Multifunction phased array Radar is introduced, characterized by conformal arrays, extensive usage of digital beam forming and separation between Tx and Rx arrays. Some significant design trade-off and Radar operating aspects are described, including the Radar management and scheduling, showing the main differences with respect to the classical, four faces phased array Multifunction Radar architecture

  • Orthogonal and Complementary Radar Signals for Multichannel Applications
    IEEE, 2011
    Co-Authors: Galati G, Pavan G
    Abstract:

    Modern Radar include more and more multiple functions and multiple channels; in this context sophisticated waveforms [1] and related processing (pulse compression, extraction of information) are an hot research and development topic. A simple Multifunction Radar concept includes the detection of air targets (target channel) and the analysis of atmospheric phenomena, mainly: precipitation (weather channel). In a weather channel the design of the waveforms to implement pulse compression techniques requires a low ISR (Integrated Sidelobe Ratio) – i.e. less than -30 dB in some cases – while in the target channel a low PSR (Peak Sidelobe Ratio) is needed. Possible novel solutions to this, and the other problems of Multifunction Radar, exploit the complementary properties of Golay codes to implement pulse compression: the encoded pulses have to be transmitted simultaneously and at the same carrier frequency. To separate them in reception, their sub-pulses can be further encoded by two orthogonal codes respectively (nested orthogonal codes into the complementary codes). The performances of this technique will be evaluated in term of ISR and PSR, with respect to the Doppler shift and to the compression rati

Sebastián M. Torres - One of the best experts on this subject based on the ideXlab platform.

Eddie Forren - One of the best experts on this subject based on the ideXlab platform.