The Generalized Sidelobe Canceller is an adaptive algorithm for optimally estimating the parameters for beamforming, the signal processing. interference noise source. Many beamforming techniques involve the generalized sidelobe canceller (GSC) algorithm of. Griffiths and Jim [5]. As shown in Fig. In the presence of the direction of arrival (DOA) mismatch, the performance of generalized sidelobe canceller (GSC) may suffer severe.

Author: Takora Brar
Country: Central African Republic
Language: English (Spanish)
Genre: History
Published (Last): 14 February 2014
Pages: 155
PDF File Size: 2.9 Mb
ePub File Size: 14.34 Mb
ISBN: 201-2-12547-425-9
Downloads: 1684
Price: Free* [*Free Regsitration Required]
Uploader: Kazrasho

Specify the elevation angles at which to compute the radiation pattern as a 1-by- Q vector.

You can compute exact weights for the constrained beamformer but the computation is costly when the number of elements is large. The GSC generates a virtual reference array void of neural activity, then adapts the data in this array to the primary array.

Input expand all X — Input signal M widelobe N complex-valued matrix. LCMV beamforming minimizes the output power of an array while preserving the power in one or more specified directions. Specify the operating frequency range of the antenna or microphone element as a 1-by-2 row vector in the form [LowerBound,UpperBound]. The result is an estimation of the noise-only sequences in the data, W r T D r. For each sensor in the array, we calculate the lead field matrix L for a dense mesh of thousands of current dipoles within the brain volume cf.

Superscript denotes the quaternion conjugate and transpose operator. The quantity L equals the length of the Operating frequency vector Hz. Sincethe inverse of matrix is given by where is the determinant of matrix.

The Generalized Sidelobe Canceller Based on Quaternion Widely Linear Processing

If Array size is an integer, the array has the same number of elements in each row and column. Output expand all Y — Beamformed output M -by- L complex-valued matrix. Operating frequency vector Hz — Operating frequency range of custom antenna or microphone elements [0,1. Q must be greater than 2.


All element boresight vectors point along the z -axis. This difference is the beamformed GSC output. We will discuss a method for forming A in the Results Section. All the quaternion widely linear algorithms employ the quaternion widely linear model and the associated augmented quaternion statistics, which includes the information in both the standard covariance and the three pseudocovariances, so that their performance was enhanced.

Unlike the complex widely linear beamformer, the QSWL beamformer is based on the simultaneous operation on the quaternion vector, which is composed of two jointly proper complex vectors, and its involution counterpart.

Although an average response is becoming apparent, much artifact remains, which we conjecture is due to the strong respiration and movement artifacts. The polar pattern is symmetric around the central axis.

This type of beamformer is called a constrained beamformer. Figures 5 and 6 display, respectively, the output as a function of at andwhere, and. Multiple dipole modeling and localization from spatio-temporal MEG data. Noise-free magnetoencephalography recordings of brain function. The combined total array collects data for n time slices to yield the spatio-temporal data matrix Dmodeled as.

Magnitude pattern dB — Magnitude of combined antenna radiation pattern zerosdefault real-valued Q -by- P matrix real-valued Q -by- P -by- L array. Select the China site in Chinese or English for best site performance. Letwhere is a quaternion-valued diagonal weight matrix and is a complex weight vector.

Using 40we can easily obtain. Future work will use more realistic head models and source locations, with more explicit justification of the truncation to build the virtual reference array. You can run repeated executions without recompiling, but if you change any block parameters, then the block automatically recompiles before execution. Cheong Took and D. This transformation maps the complex signal on scalar and imaginary fields of a quaternion, and the complex signal is simultaneously mapped to the and imaginary fields of a quaternion.

The head model was a simple spherical model with an approximate volume grid inside the helmet, and the model was truncated to rank 70 of total dimensions. Element spacing m — Spacing between array elements 0. It is noted that is -proper 2 because two complex series and are second-order circularity. The lower path is an adaptive unconstrained beamformer whose purpose is to minimize the GSC output power.


Direction of element normal vectors in a conformal array, specified as a 2-by-1 column vector or a 2-by- N matrix. Subscribe to Table of Contents Alerts.

Array normal direction, specified as xyor z. Effect of the angular mismatch between the distortionless constraint direction and the real direction of the desired signal at. Since we are focussed on data filtering and not source estimation, the use of a surrogate head model A is particularly appropriate.

The quantity P equals length of the vector specified by Azimuth angles deg. Phase pattern deg — Custom antenna radiation phase pattern zerosdefault real-valued Q -by- P matrix real-valued Q -by- P -by- L array. Due to the limited space here, the proofs of these latter statements will be provided in a future publication. Data were now cancelle by respiration artifacts, due to metal implants in subject.

Select a Web Site

Source of beamforming direction — Source of beamforming direction Property default Input port. Specify element tapering as a complex-valued scalar or a complex-valued 1-by- N row vector. Magnitude of the combined antenna radiation pattern, specified as a Q -by- P matrix or a Q -by- P -by- L array. Introduction As an important tool of multidimensional signal processing, the quaternion algebra has been applied to parameter estimation of 2D harmonic signals [ 1 ], DOA estimation of polarized signals [ 2 — 4 ], image processing [ 5 ], space-time-polarization block codes [ 6 ], Kalman filter [ 7 ], adaptive filter [ 89 ], independent component analysis ICA algorithm generalkzed 10 ], widely linear modeling and filtering [ 11 — 15 ], nonlinear adaptive filtering [ 16 ], and blind source separation [ 17 ].