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Adaptive Thresholding and Automatic Detection

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Principles of Modern Radar

Abstract

The requirement for radar systems that can detect the presence of targets within background environments that are more complex and less known than thermal noise and maintain a controlled false alarm rate leads to increased emphasis on adaptive threshold automatic detection circuits. Systems that use automatic detection circuits to maintain, ideally, a constant false alarm rate by generating estimates of the receiver output when targets (of interest) are not present are called constant false alarm rate (CFAR) systems.

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References

Cited References

  1. R. Nitzberg, “Constant-False-Alarm-Rate Signal Processors for Several Types of Interferences,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-8, no. 1, January 1972, pp. 27–34.

    Article  Google Scholar 

  2. D. Curtis Schleher, Automatic Detection and Radar Data Processing, Artech House, Dedham, Mass., 1980.

    Google Scholar 

  3. J. B. Thomas, “Nonparametric Detection,” Proceedings of the IEEE, vol. 58, no. 5, May 1970, pp. 623–631.

    Article  Google Scholar 

  4. R. S. Finn, and R. S. Johnson, “Adaptive Detection Mode with Threshold Control as a Function of Spatially Sampled Clutter Level Estimates,” RCA Review, vol. 29, no. 3, September 1968, pp. 414–464.

    Google Scholar 

  5. G. B. Goldstein, “False-Alarm Regulation in Log-Normal and Weibull Clutter,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-9, no. 1, January 1973, pp. 84–91.

    Article  Google Scholar 

  6. Peter Swerling, “The ‘Double Threshold’ Method of Detection,” RM-1008, Rand Corp., Santa Monica, CA., December 17, 1952.

    Google Scholar 

  7. L. D. Davisson, et al., “The Effects of Dependence on Nonparametric Detection,” IEEE Transactions on Information Theory, vol. IT-16, no. 1, January 1970, pp. 32–41.

    Article  MathSciNet  Google Scholar 

  8. L. E. Vogel, “An Examination of Radar Signal Processing via Non-Parametric Techniques,” Proceedings of the IEEE International Radar Conference, April 1975, pp. 533–537.

    Google Scholar 

  9. R. E. Walpole, and R. H. Myers, Probability and Statistics for Engineers and Scientists, Macmillan Publishing Co., New York, 1972, p. 83.

    MATH  Google Scholar 

  10. J. F. Walker, “Performance Data for a Double-Threshold Detection Radar,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-7, no. 1, January 1971, pp. 142–146.

    Article  Google Scholar 

  11. W. S. Reid, et al, “Techniques for Clutter False Alarm Control in Automated Radar Detection Systems,” Proceedings of the IEEE International Radar Conference, April 1975, pp. 294–299.

    Google Scholar 

  12. G. M. Dillard, et al., “A Practical Distribution-Free Detection Procedure for Multiple-Range-Bin Radars,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-6, no. 5, September 1970, pp. 629–635.

    Article  Google Scholar 

  13. Robert E. Lefferts, “Adaptive False Alarm Control in Double Threshold Radar Detection,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-17, no. 5, September 1981, pp. 666–675.

    Article  Google Scholar 

  14. R. M. Barnes, et al., “ARTS Enhancement Support Program Multisensor System Study,” MSD-F-183, John Hopkins University Applied Physics Laboratory, Baltimore, January 31, 1973.

    Google Scholar 

  15. G. V. Trunk, “Comparison of Two Scanning Radar Detectors: The ‘Moving Window’ and the Feedback Integrator,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-7, no. 2, March 1971, pp. 395–398.

    Article  Google Scholar 

  16. G. V. Trunk, “Detection Results for Scanning Radars Employing Feedback Integration,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-6, no. 4, July 1970, pp. 522–527.

    Article  Google Scholar 

  17. D. S. Palmer, and D. C. Cooper, “An Analysis of the Performance of Weighted Integrators,” IEEE Transactions on Information Theory, vol IT-10, no. 4, October 1964, pp. 296–302.

    Article  Google Scholar 

  18. T. P. Kabaservice, and S. M. Newman, “Recent Technical Developments in Ground-Based Air Surveillance Radar Systems,” Proceedings of Military Microwaves ’80, October 1980, pp. 683–700.

    Google Scholar 

  19. M. I. Skolnik, Introduction to Radar Systems, McGraw-Hill Book Co., New York, 1962.

    Google Scholar 

Other References

  1. G. V. Trunk, et al., “Modified Generalized Sign Test Processor For 2-D Radar,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-10, no. 5, September 1974, pp. 574–582.

    Article  Google Scholar 

  2. Eli Brookner, Radar Technology, Artech House, Dedham, Mass., 1978.

    Google Scholar 

  3. M. I. Skolnik, Radar Handbook, McGraw-Hill Book Co. New York, 1970.

    Google Scholar 

  4. V. G. Hansen, “Comments on ‘Performance Data for a Double-Threshold Detection Radar’,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-7, no. 1, May 1971, p. 561.

    Article  Google Scholar 

  5. J. F. Walker, “Performance Data for a Double-Threshold Detection Radar,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-7, no. 1, January 1971, pp. 141–146.

    Article  Google Scholar 

  6. G. M. Dillard, “A Moving-Window Detector for Binaiy Integration,” IEEE Transactions on Information Theory, vol. IT-13, no. 1, January 1967, pp. 2–6.

    Article  Google Scholar 

  7. G. R. Martin, “Adaptive Threshold Device Employing Spatial Integration in Two Dimensions,” Electronics Letters, vol. 12, no. 12, June 1976, pp. 307–308.

    Article  Google Scholar 

  8. Lesli M. Novak, “Optimal Target Designation Techniques,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-17, no. 5, September 1981, pp. 676–684.

    Article  Google Scholar 

  9. V. Gregers Hansen, and Harold R. Ward, “Detection Performance of the Cell Averaging Log/ CFAR Receiver,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-8, no. 5, September 1972, pp. 648–652.

    Article  Google Scholar 

  10. Hermann Rolling, “Radar CFAR Thresholding in Clutter and Multiple Target Situations,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-19, no. 4, July 1983, pp. 608–621.

    Article  Google Scholar 

  11. R. Nitzberg, “Constant False Alarm Rate Processors for Locally Nonstationary Clutter,” IEEE Transactions on Aerospace and Electronic Systems, vol. AES-9, no. 3, May 1973, pp. 399–405.

    Article  Google Scholar 

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Authors

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Jerry L. Eaves Edward K. Reedy

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© 1987 Van Nostrand Reinhold

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Barrett, C.R. (1987). Adaptive Thresholding and Automatic Detection. In: Eaves, J.L., Reedy, E.K. (eds) Principles of Modern Radar. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1971-9_12

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  • DOI: https://doi.org/10.1007/978-1-4613-1971-9_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9170-1

  • Online ISBN: 978-1-4613-1971-9

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