An improved 2-D phased array spatial spectrum estimation method at subarray level

Hu Hang; Jing Xiuwei

doi:10.1109/APS.2006.1711032

An improved 2-D phased array spatial spectrum estimation method at subarray level

Hu Hang^*
, Jing Xiuwei

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Most of presented spatial spectrum estimation methods are based on element outputs. This paper studies the spatial spectrum estimation methods at subarray level which can be applied in multi-function phased array radars and gives the model of these methods. To improve the performance of method based on the direct simplified array manifold, we post-process the digital subarray outputs by bringing in weighting network and construct simplified array manifold based on the Gaussian patterns. With the improved method we can control the available direction finding region flexibly and suppress sidelobe sources better. Theory analysis and simulation results express the validity.

Original language	English
Article number	1711032
Pages (from-to)	2229-2232
Number of pages	4
Journal	AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)
DOIs	https://doi.org/10.1109/APS.2006.1711032
State	Published - 2006
Event	IEEE Antennas and Propagation Society International Symposium, APS 2006 - Albuquerque, NM, United States Duration: 9 Jul 2006 → 14 Jul 2006

Keywords

Gaussian pattern
Phased array at subarray level
Simplified array manifold
Spatial spectrum estimation

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10.1109/APS.2006.1711032

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title = "An improved 2-D phased array spatial spectrum estimation method at subarray level",

abstract = "Most of presented spatial spectrum estimation methods are based on element outputs. This paper studies the spatial spectrum estimation methods at subarray level which can be applied in multi-function phased array radars and gives the model of these methods. To improve the performance of method based on the direct simplified array manifold, we post-process the digital subarray outputs by bringing in weighting network and construct simplified array manifold based on the Gaussian patterns. With the improved method we can control the available direction finding region flexibly and suppress sidelobe sources better. Theory analysis and simulation results express the validity.",

keywords = "Gaussian pattern, Phased array at subarray level, Simplified array manifold, Spatial spectrum estimation",

author = "Hu Hang and Jing Xiuwei",

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language = "英语",

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journal = "AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)",

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AU - Hang, Hu

AU - Xiuwei, Jing

PY - 2006

Y1 - 2006

N2 - Most of presented spatial spectrum estimation methods are based on element outputs. This paper studies the spatial spectrum estimation methods at subarray level which can be applied in multi-function phased array radars and gives the model of these methods. To improve the performance of method based on the direct simplified array manifold, we post-process the digital subarray outputs by bringing in weighting network and construct simplified array manifold based on the Gaussian patterns. With the improved method we can control the available direction finding region flexibly and suppress sidelobe sources better. Theory analysis and simulation results express the validity.

AB - Most of presented spatial spectrum estimation methods are based on element outputs. This paper studies the spatial spectrum estimation methods at subarray level which can be applied in multi-function phased array radars and gives the model of these methods. To improve the performance of method based on the direct simplified array manifold, we post-process the digital subarray outputs by bringing in weighting network and construct simplified array manifold based on the Gaussian patterns. With the improved method we can control the available direction finding region flexibly and suppress sidelobe sources better. Theory analysis and simulation results express the validity.

KW - Gaussian pattern

KW - Phased array at subarray level

KW - Simplified array manifold

KW - Spatial spectrum estimation

UR - https://www.scopus.com/pages/publications/36148993609

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DO - 10.1109/APS.2006.1711032

M3 - 会议文章

AN - SCOPUS:36148993609

SN - 1522-3965

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JO - AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)

JF - AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)

M1 - 1711032

T2 - IEEE Antennas and Propagation Society International Symposium, APS 2006

Y2 - 9 July 2006 through 14 July 2006

ER -

An improved 2-D phased array spatial spectrum estimation method at subarray level

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Keywords

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