MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing

المؤلفون المشاركون

Lv, Wanghan
Liu, Feng
Mu, Shanxiang

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-02-21

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

هندسة مدنية

الملخص EN

To reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging.

Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed sensing (CS).

Echo model of sparse array in range and compressive sampling is reconstructed with CS theory.

Resolution in range imaging is improved by using the techniques of digital beamforming (DBF) in transmit.

Zero-point technique based on CS is proposed with DBF in receive and the range ambiguity is suppressed effectively.

Comprehensive numerical simulation examples are performed.

Its validity and practicality are validated by simulations.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Liu, Feng& Mu, Shanxiang& Lv, Wanghan. 2017. MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192661

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Liu, Feng…[et al.]. MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing. Mathematical Problems in Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1192661

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Liu, Feng& Mu, Shanxiang& Lv, Wanghan. MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1192661

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1192661