Narrow-band null phase-shift spatial filter based On oblique projection

Hong, Hong; Mao, Xingpeng; Hu, Cui; Guo, Ruifeng; Deng, Weibo; Jiang, Peng

doi:10.1109/radar.2013.6586063

Cited by 3 publications

(4 citation statements)

References 10 publications

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“…In order to reduce the sidelobes as much as possible, the logic product process [27] is needed to get the final output result of NBF. The logic product reserves the smallest value of all the P results angle by angle in the azimuth, as shown in equation (25).…”

Section: Principle Of Spatial Narrow Beamformingmentioning

confidence: 99%

“…The special properties of the generalised oblique projection (GOP) spatial filter with a flexible parameter [18] and the oblique projection (OP) [19][20][21] spatial filter provide a potential solution to the above problems. GOP is a modified form of OP that constructs an oblique projection operator based on spatial information [22][23][24][25]. OP [26] is based on the maximum signal-to-interference ratio (SIR) criterion, while GOP [18] is based on the maximum signal-to-interferenceplus-noise ratio (SINR) criterion.…”

Section: Introductionmentioning

confidence: 99%

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A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter

Mao,

Li,

Huang

et al. 2024

IET Radar Sonar & Navi

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Beamforming is an effective way of resolving target direction and anti‐jamming in short wave (SW) radar systems. In conventional beamforming (CBF) at a certain frequency, to get high resolution, the array aperture should be increased, and this is often not allowed in practical applications. A new narrow beam forming (NBF) method for beam sharpening based on the generalised oblique projection (GOP) filter with a flexible parameter is proposed. This method uses a GOP filter bank to form deep nulls in the undesired azimuth range on the pattern and utilises the logic product process to synthesise the GOP filters’ outputs and thus obtains a narrow beam. Compared to traditional beamforming methods, the result of NBF has the characteristics of narrower beam width and bigger side lobe suppression ratio (SLSR). Especially, a narrower beam can be obtained in the case of a small array aperture, which is valuable for practical applications. Experimental results of the range‐Doppler spectrum of short wave radar show that this narrow beam forming method can achieve super resolution of targets within a wide beam and greatly suppress clutter. Therefore, NBF can improve the azimuth resolution and achieve interference suppression in a conventional beam.

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Section: Principle Of Spatial Narrow Beamformingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter

Mao,

Li,

Huang

et al. 2024

IET Radar Sonar & Navi

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show abstract

“…The oblique projection utilizes the difference between the desired and unwanted signals to extract the target while suppressing interference. As the array, which is formed by a group of sensors sited in a predetermined pattern, generates a featured directional steering vector, spatial information has been used in constructing an oblique projection operator [13][14][15][16]. Except for the spatial information, polarization information is also explored in oblique projection to distinguish the target and interference [4,17].…”

Section: Introductionmentioning

confidence: 99%

A Generalized Oblique Projection Filter with Flexible Parameter for Interference Suppression

Wang

Mao

Hong

et al. 2015

International Journal of Antennas and Propagation

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A generalized oblique projection (GOP) with an adjustable parameter defined as interference suppression cost (ISC) is proposed. Therefore, an optional optimized signal to interference-plus-noise ratio (SINR) and user controlled actions on the interference filtering are presented in this GOP framework. Theoretical analysis and numerical simulation demonstrate that when the ISC is derived from minimum variance distortionless response (MVDR) algorithm, the SINR performance of GOP filter is better than both MVDR and oblique projection (OP) filters. Further, an application of GOP filter in ionospheric clutter cancellation in a high frequency surface wave radar (HFSWR) system is given. The ISC is designed specifically to introduce an extra coherent loss to the clutters and a satisfying clutter suppression result is achieved. Besides the examples given, more designs of GOP filter can be inspired by the flexibility of ISC. As a generalized form of OP filter, GOP filter expands the connotation of oblique projection based technique and could be used in spatial filtering, polarization filtering, and other array signal processing applications.

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“…A null phase-shift spatial filter (NPSF) in [5] is designed by subspaces of target signal and interference which aims to cover a narrow band rather than a single direction, and can avoid the amplitude and phase distortion caused by the filters. A spatial filter is designed in an efficient manner by formulating the design procedure as a rank-deficient linear least-squares problem in [6].…”

mentioning

confidence: 99%

An Adaptive Method of Signal Separation Based on Spatial Filter

Cheng

Shen

et al. 2016

Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems

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This paper addresses the problem of parameter estimation and adaptive separation by antenna arrays. The technique of Sparse Bayesian Learning (SBL), with remarkable performance in low SNR and limited snapshots, is introduced to estimate Direction-of-Arrival (DOA), as no information about the statistical property or deterministic property is known in advance. The spatial filter is designed based on the DOA estimates to separate signals from different directions. It is shown that the spatial filter can separate the signals with the noise power decreased. To enhance the performance of separation, an iteration processing is utilized until satisfying the convergence criterion. Experimental results are used to evaluate the performance of the spatial filter.

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Narrow-band null phase-shift spatial filter based On oblique projection

Cited by 3 publications

References 10 publications

A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter

A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter

A Generalized Oblique Projection Filter with Flexible Parameter for Interference Suppression

An Adaptive Method of Signal Separation Based on Spatial Filter

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