Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods

المؤلفون المشاركون

Xia, Kewen
Wang, Ting
Lu, Ning

المصدر

International Journal of Antennas and Propagation

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-05-10

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

هندسة كهربائية

الملخص EN

Antenna array pattern synthesis technology plays a vital role in the field of smart antennas.

It is well known that the pattern synthesis of homogeneous array is the key topic of pattern synthesis technology.

But this technology needs plenty of homogeneous array elements to meet the antenna requirements.

So, a novel pattern synthesis technology for sparse array based on the compressed sensing (CS) and low-rank matrix recovery (LRMR) methods is proposed.

The proposed technology predominantly includes the design of sparse array, the recovery of homogeneous array, and the synthesis of antenna array pattern.

The simulation result shows that an antenna array with low gain and strong directivity can be arbitrarily built by the use of a small amount of sparse array elements and it is useful for the miniaturization and economical efficiency of the antenna system.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wang, Ting& Xia, Kewen& Lu, Ning. 2018. Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods. International Journal of Antennas and Propagation،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1168960

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wang, Ting…[et al.]. Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods. International Journal of Antennas and Propagation No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1168960

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wang, Ting& Xia, Kewen& Lu, Ning. Pattern Synthesis for Sparse Arrays by Compressed Sensing and Low-Rank Matrix Recovery Methods. International Journal of Antennas and Propagation. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1168960

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1168960