A Postbeamformer Interference Canceler (PIC) is a beam space processor that processes the signals derived from an array of antennas by forming a signal beam and an interference beam. The paper presents a PIC processor...
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ISBN:
(纸本)9781479903566
A Postbeamformer Interference Canceler (PIC) is a beam space processor that processes the signals derived from an array of antennas by forming a signal beam and an interference beam. The paper presents a PIC processor using the orthogonal interference beam (OIB) and studies its performance by deriving the analytical results for the output signal to interference plus noise ratio (SINR) when an array is situated in the near field of broadband directional sources. A number of examples are presented to support the analytical results.
This paper studies the impact of estimation errors in the sample space-time covariance matrix on its parahermitian matrix eigenvalue decomposition. We provide theoretical bounds for the perturbation of the ground-trut...
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ISBN:
(纸本)9781538647523
This paper studies the impact of estimation errors in the sample space-time covariance matrix on its parahermitian matrix eigenvalue decomposition. We provide theoretical bounds for the perturbation of the ground-truth eigenvalues and of the subspaces of their corresponding eigenvectors. We show that for the eigenvalues, the perturbation depends on the norm of the estimation error in the space-time covariance matrix, while the perturbation of eigenvector subspaces can additionally be influenced by the distance between the eigenvalues. We confirm these theoretical results by simulations.
This paper considers a class of blind beamforming problems in which the amount of prior information is very limited. The array sensors are placed in unknown locations within a geographical region, and have unknown fre...
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ISBN:
(纸本)0819422347
This paper considers a class of blind beamforming problems in which the amount of prior information is very limited. The array sensors are placed in unknown locations within a geographical region, and have unknown frequency/spatial response. The sensors communicate synchronously with a main processor unit. The array is illuminated by a source, which may be narrow- or broadband, in near or far field. Additional disturbances may be present, in the form of interferers, possibly correlated or coherent with the main signal, and additive noise. The goal is required to steer beam toward the desired signal. Four schemes are presented, each based on the type of prior available information.
Recent work has demonstrated the power of sparse models and representations in signal processing applications and has provided the community with computational tools to use it. In this paper we explore the use of spar...
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ISBN:
(纸本)9780819487483
Recent work has demonstrated the power of sparse models and representations in signal processing applications and has provided the community with computational tools to use it. In this paper we explore the use of sparsity in localization and beamforming when capturing multiple broadband sources using a sensor array. Specifically, we reformulate the wideband signal acquisition as a joint/group sparsity problem in a combined frequency-space domain. Under this formulation the signal is sparse in the spatial domain but has common support in all frequencies. Using techniques from the model-based compressive sensing literature we demonstrate that it is possible to robustly capture, localize and often reconstruct multiple signals present in the scene.
This paper expands on a recent polynomial matrix formulation for a minimum variance distortionless response (MVDR) broadband beamformer. Within the polynomial matrix framework, this beamformer is a straightforward ext...
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ISBN:
(纸本)9781510823440
This paper expands on a recent polynomial matrix formulation for a minimum variance distortionless response (MVDR) broadband beamformer. Within the polynomial matrix framework, this beamformer is a straightforward extension from the narrowband case, and offers advantages in terms of complexity and robustness particularly for off-broadside constraints. Here, we focus on arbitrary 3-dimensional array configurations of no particular structure, where the straightforward formulation and incorporation of constraints is demonstrated in simulations, and the beamformer accurately maintains its look direction while nulling out interferers.
A Postbeamformer Interference Canceler (PIC) is a beam space processor that processes the signals derived from an array of antennas by forming a signal beam and an interference beam. The paper presents a PIC processor...
详细信息
ISBN:
(纸本)9781479903573
A Postbeamformer Interference Canceler (PIC) is a beam space processor that processes the signals derived from an array of antennas by forming a signal beam and an interference beam. The paper presents a PIC processor using the orthogonal interference beam (OIB) and studies its performance by deriving the analytical results for the output signal to interference plus noise ratio (SINR) when an array is situated in the near field of broadband directional sources. A number of examples are presented to support the analytical results.
Polynomial parahermitian matrices can accurately and elegantly capture the space-time covariance in broadbandarray problems. To factorise such matrices, a number of polynomial EVD (PEVD) algorithms have been suggeste...
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ISBN:
(纸本)9781510823440
Polynomial parahermitian matrices can accurately and elegantly capture the space-time covariance in broadbandarray problems. To factorise such matrices, a number of polynomial EVD (PEVD) algorithms have been suggested. At every step, these algorithms move various amounts of off-diagonal energy onto the diagonal, to eventually reach an approximate diagonalisation. In practical experiments, we have found that the relative performance of these algorithms depends quite significantly on the type of parahermitian matrix that is to be factorised. This paper aims to explore this performance space, and to provide some insight into the characteristics of PEVD algorithms.
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