Optimum fractional fourier filtering for monopulse processors distortion

Sherif A.E.H. Elgamel, J.J. Soraghan

Research output: Contribution to conferencePaper

Abstract

Conventional monopulse radar processors are used to track a target that appears in the look direction beam width. The distortion produced when additional targets appear in the look direction beam width can cause severe erroneous outcomes from the monopulse processor. This leads to errors in the target tracking angles that may cause the target tracker to fail. A new signal processing algorithm is presented in this paper that is based on the use of optimal Fractional Fourier Transform (FrFT) filtering to solve this problem. The relative performance of the new filtering method over traditional based methods is assessed using standard deviation angle estimation error (STDAE) for a range of simulated environments. The proposed system configurations with the optimum FrFT filters succeeds in effectively cancelling additional target signals appearing in the look direction beam width even if these target have the same Doppler frequency.
Original languageEnglish
Pages1-8
Number of pages8
Publication statusPublished - 22 Sep 2010
Event2010 Asia-Pacific Radio Science Conference (AP-RASC'10) - Toyama, Japan
Duration: 22 Sep 201026 Sep 2010

Conference

Conference2010 Asia-Pacific Radio Science Conference (AP-RASC'10)
CityToyama, Japan
Period22/09/1026/09/10

Keywords

  • optimum fractional filter
  • interference cancellation
  • monopulse radar

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    Elgamel, S. A. E. H., & Soraghan, J. J. (2010). Optimum fractional fourier filtering for monopulse processors distortion. 1-8. Paper presented at 2010 Asia-Pacific Radio Science Conference (AP-RASC'10), Toyama, Japan, .