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A Simulation of gain filters to target tracking in radar system by using Matlab

محاكاة مرشحات الربح في تعقب الهدف للنظام الراداري باستخدام MATLAB

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 Publication date 2015
and research's language is العربية
 Created by Shamra Editor




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The most important problem is to reduce radar signal noise ,so we must design a pattern to process signal from source to destination. We might study target tracking by using Kalmen filters which estimate the exact statistical average signals and put a mathematical relationship to the optimal detection technique for radar system with two variations (position, velocity) and three variations (position, velocity, acceleration). Then, we compare these filters by Matlab to check the least value for the studied error.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة مشكلة تقليل الضجيج من الإشارة الرادارية وتحسين دقة تعقب الهدف باستخدام مرشحات كالمن المتطورة. تعتمد هذه المرشحات على التقدير الدقيق للمتوسطات الإحصائية للإشارات وصياغتها بتعبير رياضي واضح. تم استخدام برنامج الماتلاب لمحاكاة ومقارنة أداء مرشحات كالمن بمتحولين (الموقع والسرعة) وثلاثة متحولات (الموقع، السرعة، والتسارع) لتحديد أقل قيمة للخطأ المدروس في تعقب الهدف. أظهرت النتائج أن مرشحات كالمن تعتبر حلاً مثالياً لتقليل الخطأ وتحسين دقة تعقب الأهداف في الأنظمة الرادارية. كما تم دراسة مرشحات الربح الثابتة مثل مرشحات αβ و αβγ ومقارنتها بمرشحات كالمن من حيث الأداء والدقة في تعقب الأهداف.
Critical review
دراسة نقدية: تعتبر الدراسة شاملة ومفصلة في تحليلها لمشكلة تعقب الأهداف وتقليل الضجيج في الأنظمة الرادارية. ومع ذلك، يمكن أن تكون الدراسة أكثر قوة إذا تم تضمين تجارب عملية بجانب المحاكاة الحاسوبية لتأكيد النتائج النظرية. كما أن الدراسة تركز بشكل كبير على الجانب الرياضي والنظري دون تقديم تطبيقات عملية واضحة يمكن أن يستفيد منها المهندسون في الميدان. بالإضافة إلى ذلك، يمكن تحسين الدراسة بإضافة مقارنة مع تقنيات أخرى لتعقب الأهداف غير مرشحات كالمن لتقديم رؤية أشمل عن الموضوع.
Questions related to the research
  1. ما هي المشكلة الرئيسية التي تعالجها الدراسة؟

    المشكلة الرئيسية هي تقليل الضجيج من الإشارة الرادارية وتحسين دقة تعقب الهدف.

  2. ما هي الأدوات المستخدمة في الدراسة لمحاكاة ومقارنة أداء المرشحات؟

    تم استخدام برنامج الماتلاب لمحاكاة ومقارنة أداء المرشحات.

  3. ما هي المرشحات التي تم دراستها في البحث؟

    تم دراسة مرشحات كالمن بمتحولين (الموقع والسرعة) وثلاثة متحولات (الموقع، السرعة، والتسارع) بالإضافة إلى مرشحات الربح الثابتة مثل αβ و αβγ.

  4. ما هي النتائج الرئيسية التي توصلت إليها الدراسة؟

    النتائج الرئيسية تشير إلى أن مرشحات كالمن تعتبر حلاً مثالياً لتقليل الخطأ وتحسين دقة تعقب الأهداف في الأنظمة الرادارية.


References used
Radar Systems analysis and design-BassemR. Mahafaz ,Ph.D. COLSA Corporation Huntsville, Alabama-2009.134
Kalman Filtering and Neural networks- MakotenYassg- 2012.6
The Simultaneous On –Line Estimation of Parameters and states in Linear Systems-t-TamorTosdkta -2011.13
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