Sensor Array Processor with Multichannel Reconstruction from Random Array Sampling
First Claim
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1. A method of acquiring multi-channel data from a multi-sensor sensor array, the array having multiple sensor elements each of which produce an output signal, comprising:
- using an array sampler to pseudo-randomly sample the output signal of each element, thereby acquiring a single-channel signal that represents the sampled output of all sensor elements;
converting the single-channel signal to digital data;
delivering the digital data to a decompression unit operable to construct a signal from every sensor element, using a compression sensing matrix;
wherein the compression sensing matrix is formed from a sampling matrix and a transform matrix;
wherein the transform matrix represents the multi-channel data in terms of a frequency domain and an azimuthal domain; and
wherein the sampling matrix is derived from an array vector matrix comprising vectors ei where i indicates the array element being sampled.
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Abstract
A method and system for reconstructing random samples taken across multiple sensors of a sensor array, so that each sensor'"'"'s output is reconstructed. The samples are processed using a compressive sensing process. The compressive sensing process uses a time-space transform basis that represents the multi-channel data in terms of both a frequency component and an azimuthal component.
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Citations
12 Claims
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1. A method of acquiring multi-channel data from a multi-sensor sensor array, the array having multiple sensor elements each of which produce an output signal, comprising:
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using an array sampler to pseudo-randomly sample the output signal of each element, thereby acquiring a single-channel signal that represents the sampled output of all sensor elements; converting the single-channel signal to digital data; delivering the digital data to a decompression unit operable to construct a signal from every sensor element, using a compression sensing matrix; wherein the compression sensing matrix is formed from a sampling matrix and a transform matrix; wherein the transform matrix represents the multi-channel data in terms of a frequency domain and an azimuthal domain; and wherein the sampling matrix is derived from an array vector matrix comprising vectors ei where i indicates the array element being sampled. - View Dependent Claims (2, 3, 4, 5)
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6. A system for sampling and reconstructing the output of a multi-sensor sensor array, the array having multiple sensor elements each of which produce an output signal, comprising:
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an array sampler configured to pseudo-randomly sample the output signal of each element, thereby acquiring a single-channel signal that represents the sampled output of all sensor elements; a receiver operable to receive the single-channel signal; a converter operable to convert the single-channel signal to digital data; a decompression unit operable to construct a signal from every sensor element from the digital data, using a compression sensing matrix. Wherein the compression sensing matrix is formed from the sampling matrix and the transform matrix; wherein the transform matrix represents the multi-channel data in terms of a frequency domain and an azimuthal domain; and wherein the sampling matrix is derived from an array vector matrix comprising vectors ei where i indicates the array element being sampled. - View Dependent Claims (7, 8, 9, 10, 11, 12)
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Specification