Enhanced monopulse radar tracking using fractional Fourier filtering in the presence of interference

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

Research output: Contribution to conferencePaper

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Abstract

Monopulse radars are used to track a target that appears in the look direction beam width. Significant distortion is produced when manmade high power interference (jamming) is introduced to the radar processor through the radar antenna main lobe (main lobe interference) or antenna side lobe (side lobe interference). This leads to errors in the target tracking angles that may cause target mistracking. A new monopulse radar structure is presented in this paper which addresses this problem. This structure is based on the use of optimal Fractional Fourier Transform (FrFT) filtering. The improved performance of the new monopulse radar structure over the traditional monopulse processor is assessed using standard deviation angle estimation error (STDAE) for a range of simulated environments. The proposed system configurations with the optimum FrFT filters is shown to reduce the interfered signal and to minimize the STDAE for monopulse processors.
Original languageEnglish
Pages1-4
Number of pages3
Publication statusPublished - 16 Jun 2010
Event11th International Radar Symposium IRS-2010 - Vilnius, Lithuania
Duration: 16 Jun 201018 Jun 2010

Conference

Conference11th International Radar Symposium IRS-2010
CityVilnius, Lithuania
Period16/06/1018/06/10

Fingerprint

Antenna lobes
Monopulse radar
Radar tracking
Directional patterns (antenna)
Error analysis
Fourier transforms
Radar antennas
Wave interference
Jamming
Target tracking
Radar
Antennas

Keywords

  • component
  • monopulse radar
  • noise interference
  • fractional fourier filtering

Cite this

Elgamel, S. A. E. H., & Soraghan, J. J. (2010). Enhanced monopulse radar tracking using fractional Fourier filtering in the presence of interference. 1-4. Paper presented at 11th International Radar Symposium IRS-2010, Vilnius, Lithuania, .
Elgamel, Sherif A.E.H. ; Soraghan, J.J. / Enhanced monopulse radar tracking using fractional Fourier filtering in the presence of interference. Paper presented at 11th International Radar Symposium IRS-2010, Vilnius, Lithuania, .3 p.
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abstract = "Monopulse radars are used to track a target that appears in the look direction beam width. Significant distortion is produced when manmade high power interference (jamming) is introduced to the radar processor through the radar antenna main lobe (main lobe interference) or antenna side lobe (side lobe interference). This leads to errors in the target tracking angles that may cause target mistracking. A new monopulse radar structure is presented in this paper which addresses this problem. This structure is based on the use of optimal Fractional Fourier Transform (FrFT) filtering. The improved performance of the new monopulse radar structure over the traditional monopulse processor is assessed using standard deviation angle estimation error (STDAE) for a range of simulated environments. The proposed system configurations with the optimum FrFT filters is shown to reduce the interfered signal and to minimize the STDAE for monopulse processors.",
keywords = "component, monopulse radar, noise interference, fractional fourier filtering",
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Elgamel, SAEH & Soraghan, JJ 2010, 'Enhanced monopulse radar tracking using fractional Fourier filtering in the presence of interference' Paper presented at 11th International Radar Symposium IRS-2010, Vilnius, Lithuania, 16/06/10 - 18/06/10, pp. 1-4.

Enhanced monopulse radar tracking using fractional Fourier filtering in the presence of interference. / Elgamel, Sherif A.E.H.; Soraghan, J.J.

2010. 1-4 Paper presented at 11th International Radar Symposium IRS-2010, Vilnius, Lithuania, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Enhanced monopulse radar tracking using fractional Fourier filtering in the presence of interference

AU - Elgamel, Sherif A.E.H.

AU - Soraghan, J.J.

PY - 2010/6/16

Y1 - 2010/6/16

N2 - Monopulse radars are used to track a target that appears in the look direction beam width. Significant distortion is produced when manmade high power interference (jamming) is introduced to the radar processor through the radar antenna main lobe (main lobe interference) or antenna side lobe (side lobe interference). This leads to errors in the target tracking angles that may cause target mistracking. A new monopulse radar structure is presented in this paper which addresses this problem. This structure is based on the use of optimal Fractional Fourier Transform (FrFT) filtering. The improved performance of the new monopulse radar structure over the traditional monopulse processor is assessed using standard deviation angle estimation error (STDAE) for a range of simulated environments. The proposed system configurations with the optimum FrFT filters is shown to reduce the interfered signal and to minimize the STDAE for monopulse processors.

AB - Monopulse radars are used to track a target that appears in the look direction beam width. Significant distortion is produced when manmade high power interference (jamming) is introduced to the radar processor through the radar antenna main lobe (main lobe interference) or antenna side lobe (side lobe interference). This leads to errors in the target tracking angles that may cause target mistracking. A new monopulse radar structure is presented in this paper which addresses this problem. This structure is based on the use of optimal Fractional Fourier Transform (FrFT) filtering. The improved performance of the new monopulse radar structure over the traditional monopulse processor is assessed using standard deviation angle estimation error (STDAE) for a range of simulated environments. The proposed system configurations with the optimum FrFT filters is shown to reduce the interfered signal and to minimize the STDAE for monopulse processors.

KW - component

KW - monopulse radar

KW - noise interference

KW - fractional fourier filtering

M3 - Paper

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Elgamel SAEH, Soraghan JJ. Enhanced monopulse radar tracking using fractional Fourier filtering in the presence of interference. 2010. Paper presented at 11th International Radar Symposium IRS-2010, Vilnius, Lithuania, .