استخراج تصویر از اهداف با حرکت غیریکنواخت و شتاب ثابت در رادار دهانه ترکیبی معکوس مبتنی بر حسگری فشرده

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشگاه صنعتی مالک اشتر، تهران، ایران

2 دانشگاه صنعتی مالک اشتر

چکیده

در تصویربرداری مبتنی بر حسگری فشرده (CS) در رادار دهانه ترکیبی معکوس (ISAR)، معمولاً حرکت یکنواختی برای اهداف در نظر گرفته می‌شود. بااین‌حال معمولاً در سناریوهای عملی، اهداف دارای حرکت غیریکنواخت هستند که این حرکت باعث ایجاد شیفت فرکانس داپلر متغیر با زمان شده و تصویر ISAR دچار ماتی خواهد شد. همچنین ازآنجاکه ماتریس پایه مورداستفاده در تصویربرداری ISAR مبتنی بر حسگری فشرده به پارامترهای حرکت چرخشی وابسته است، مقادیر این پارامترها نیز باید تخمین زده شود. این در حالی است که معمولاً رفتار اهداف نسبت به رادار به‌صورت همکارانه در نظر گرفته می‌شود؛ یعنی فرض می‌شود که حرکت اهداف از دید رادار از قبل شناخته‌شده است و مسئله تخمین پارامترها در نظر گرفته نمی‌شود. در این مقاله، روشی بهبودیافته به‌منظور استخراج تصویر مبتنی بر حسگری فشرده برای حرکت غیریکنواخت با شتاب ثابت و غیرهمکارانه اهداف پیشنهاد و بهترین نمایش تنک برای ماتریس پایه استخراج شده است. نتایج شبیه‌سازی نشان می‌دهد که الگوریتم پیشنهادی کارایی بهتری نسبت به سایر روش‌ها حتی بدون جبران سازی حرکت چرخشی دارد و همچنین کنتراست تصویر بالاتری ارائه می‌کند.

کلیدواژه‌ها


عنوان مقاله [English]

Inverse Synthetic Aperture Radar (ISAR) Imaging of Targets with Non-Uniform Motion and Constant Acceleration based on Compressed Sensing

نویسندگان [English]

  • R. Entezari 1
  • A. J. Rashidi 2
1
2 Malek-e-Ashtar University of Technology (MUT), Tehran, IRAN
چکیده [English]

Compressed sensing (CS)-based inverse synthetic aperture radar (ISAR) imaging usually considers the uniform motion of targets. However, in practical scenarios, the targets usually have non-uniform motion, which creates the time-varying Doppler frequency shift and the ISAR image is blurred. Also, the basis matrix used in CS-based ISAR imaging is related to the rotational motion parameters which should be estimated too. However, the targets are assumed to have cooperative behavior with respect to radar; that is the target motion is known a priori and parameter estimation is not considered. In this paper, an improved version of CS-based imaging for non-uniform motion with constant acceleration and non-cooperative targets is proposed and best sparse representation is extracted. Simulation results show that the proposed algorithm is more efficient than other methods even without rotational motion compensation and provide higher image contrast.

کلیدواژه‌ها [English]

  • Inverse Synthetic Aperture Radar (ISAR)
  • Non-uniform motion
  • Compressed sensing (CS)
  • Basis Matrix
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دوره 9، شماره 2 - شماره پیاپی 34
شماره پیاپی 34، فصلنامه تابستان
تیر 1400
صفحه 51-62
  • تاریخ دریافت: 26 تیر 1399
  • تاریخ بازنگری: 18 آبان 1399
  • تاریخ پذیرش: 22 دی 1399
  • تاریخ انتشار: 01 تیر 1400