Robust Set-Membership Affine-Projection Adaptive-Filtering Algorithm

Bhotto, Md. Zulfiquar Ali; Antoniou, A.

doi:10.1109/tsp.2011.2170980

Cited by 39 publications

(21 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Provide a reference of research result from Cheng et al (2011), and obtain 8 qualified photos from each portion of the upward slope as the basis of image processing. Because enhancements of own image of PhotoModeler Scanner are weak, the programming process of Matlab 2012b (MathWorks Ltd., USA) is used, general images with noises are denoising with adaptive filtering (Bhotto & Antoniou, 2012), and the details of blurred image are disposed by the method of layering and purifying the wavelet packet (Jiang & Cui, 2015). …”

Section: Acquisition and Enhancement Of Photosmentioning

confidence: 99%

Displacement Monitoring of the Slope at Tunnel Face Based on PhotoModeler Scanner System

Zhou¹,

Huang²,

He³

et al. 2017

dtetr

View full text Add to dashboard Cite

This paper describes a simple slope displacement monitoring system based on PhotoModeler Scanner. Multi-angle images of displacement observation points located in the slope at tunnel face were rapidly acquired by a cheap and calibrated CCD camera. After the image enhancement processing, images were imported into PhotoModeler Scanner system. Then, using several software function modules to process image data, we get the X-Y-Z three component coordinate values of all the displacement monitoring points. Through a long-term monitoring, each component displacement curve of the monitoring points was drawn out. In order to test the reliability of the results, three-dimensional coordinate values of each point were measured by the high-precision total station instrument simultaneously. These three-dimensional coordinate values were treated as true values. Under the requirements of the accuracy of 0.1 mm, the displacement values of photogrammetric measurement were compared to the true values. The results showed that, RMS (Root Mean Square) values of the most points were about ±2.0 mm, in addition to very few. And the total RMS value was ±2.8 mm. It indicates that the digital close-range photogrammetry based on PhotoModeler Scanner Systerm can satisfy the requirement of the general slope displacement monitoring. Moreover, the 3D displacement values got by our way can be used to appraise the security state of slopes in similar areas.

show abstract

Section: Acquisition and Enhancement Of Photosmentioning

confidence: 99%

Displacement Monitoring of the Slope at Tunnel Face Based on PhotoModeler Scanner System

Zhou¹,

Huang²,

He³

et al. 2017

dtetr

View full text Add to dashboard Cite

show abstract

“…The bound of SM filtering algorithms is an important quantity to measure the quality of the estimates that could be included in the constraint set. In [36], [37], several predetermined bounding schemes have been reported for development of the adaptive SM filters, which achieve reduced complexity without performance degradation. However, in a nonstationary scenario, they are impractical to reflect the time-varying nature of the environment and may result in poor convergence and tracking performance.…”

Section: Time-varying Bound Schemesmentioning

confidence: 99%

Adaptive set membership constant modulus algorithm with a generalized sidelobe canceler based on dynamic bounds for beamforming

Lamare

Zhao

2014

Signal Processing

View full text Add to dashboard Cite

“…Prior work on SMF blind algorithms for interference suppression is very limited [7], [8]. The use of time-varying bounds is also restricted to applications where one assumes that the "true" error bound is constant [16] and to the parameter-dependent error bound recently proposed in [13], [15]. The time-varying bound techniques so far reported are not blind and do not exploit these mechanisms for channel and parameter estimation.…”

Section: A Prior and Related Workmentioning

confidence: 99%

Blind Adaptive Interference Suppression Based on Set-Membership Constrained Constant-Modulus Algorithms With Dynamic Bounds

Lamare

Diniz

2013

IEEE Trans. Signal Process.

View full text Add to dashboard Cite

Abstract-This work presents blind constrained constant modulus (CCM) adaptive algorithms based on the set-membership filtering (SMF) concept and incorporates dynamic bounds for interference suppression applications. We develop stochastic gradient and recursive least squares type algorithms based on the CCM design criterion in accordance with the specifications of the SMF concept. We also propose a blind framework that includes channel and amplitude estimators that take into account parameter estimation dependency, multiple access interference (MAI) and inter-symbol interference (ISI) to address the important issue of bound specification in multiuser communications. A convergence and tracking analysis of the proposed algorithms is carried out along with the development of analytical expressions to predict their performance. Simulations for a number of scenarios of interest with a DS-CDMA system show that the proposed algorithms outperform previously reported techniques with a smaller number of parameter updates and a reduced risk of overbounding or underbounding.

show abstract

Robust Set-Membership Affine-Projection Adaptive-Filtering Algorithm

Cited by 39 publications

References 19 publications

Displacement Monitoring of the Slope at Tunnel Face Based on PhotoModeler Scanner System

Displacement Monitoring of the Slope at Tunnel Face Based on PhotoModeler Scanner System

Adaptive set membership constant modulus algorithm with a generalized sidelobe canceler based on dynamic bounds for beamforming

Blind Adaptive Interference Suppression Based on Set-Membership Constrained Constant-Modulus Algorithms With Dynamic Bounds

Contact Info

Product

Resources

About