March 29, 2017

Download Adaptive Radar Resource Management by Peter Moo, Zhen Ding PDF

By Peter Moo, Zhen Ding

Radar source administration (RRM) is key for optimizing the functionality of contemporary phased array radars, that are the first sensor for airplane, ships, and land systems. Adaptive Radar source administration offers an creation to radar source administration (RRM), proposing a transparent evaluation of alternative methods and strategies, making it very compatible for radar practitioners and researchers in and universities.

Coverage comprises:

  • RRM’s function in optimizing the functionality of recent phased array radars
  • The merits of adaptivity in enforcing RRM
  • The function that modelling and simulation performs in comparing RRM performance
  • Description of the simulation device Adapt_MFR
  • Detailed descriptions and function effects for particular adaptive RRM techniques
  • The in basic terms e-book totally devoted to adaptive RRM
  • A accomplished remedy of phased array radars and RRM, together with job prioritization, radar scheduling, and adaptive music replace rates
  • Provides unique wisdom of particular RRM thoughts and their performance

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Additional resources for Adaptive Radar Resource Management

Example text

Surveillance continues until a detection occurs and a confirmation is scheduled for that detection. For each successful target confirmation, a measurement report is sent to the tracker. Predictions are requested at specific scheduled times based on user-defined rules to determine track update intervals. Based on the radar scheduling algorithm being modeled, future surveillance and tracking beams are assigned at specific times. Adapt_MFR is capable of modeling networked radars with an arbitrary number of radars.

Both fixed and variable waveform libraries have been reported in the literature. Seventeen papers are noted in this category [53–69]. 2 A Neural Network Algorithm The radar performance factors such as eclipsing, blind velocity, clutter, propagation, and jamming were analyzed by Huizing [22]. These factors were used as the input to a nonlinear function of performance. A multilayer NN was used to model the nonlinear function. A training data set containing pairs of waveform parameters and detection performance was generated with a radar test-bed CARPET.

The calculator mode allows the user to compute preliminary detection results in a noncausal mode. The simulation modes are causal in nature and provide a complete simulation run, making the functionality of Adapt_MFR available to the user. 42 Adaptive Radar Resource Management Input parameters Radar Targets Simulation flow • Calculate target trajectories • Set measurement resolutions, beam pattern specifications, environmental conditions, etc. 1 High-level overview of the simulation mode with IMM tracker in Adapt_MFR.

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