Apparatus and method for compressive sensing tap identification for channel estimation
First Claim
1. A method for compressive sensing tap identification for channel estimation comprising:
- identifying a set of significant taps in the time domain;
representing a time-flat channel response using a Taylor series expansion with the set of significant taps;
converting the time-flat channel response to a vectorized channel response;
transforming the vectorized channel response to a compressive sensing (CS) polynomial frequency response;
aggregating the CS polynomial frequency response into a stacked frequency response;
converting the stacked frequency response into a measured pilot frequency response;
estimating a channel parameter vector based on the measured pilot frequency response; and
generating a reconstructed channel response from the channel parameter vector.
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Abstract
An apparatus and method for compressive sensing tap identification for channel estimation comprising identifying a set of significant taps in the time domain; representing a time-flat channel response using a Taylor series expansion with the set of significant taps; converting the time-flat channel response to a vectorized channel response; transforming the vectorized channel response to a compressive sensing (CS) polynomial frequency response; aggregating the CS polynomial frequency response into a stacked frequency response; converting the stacked frequency response into a measured pilot frequency response; estimating a channel parameter vector based on the measured pilot frequency response; and generating a reconstructed channel response from the channel parameter vector.
20 Citations
40 Claims
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1. A method for compressive sensing tap identification for channel estimation comprising:
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identifying a set of significant taps in the time domain; representing a time-flat channel response using a Taylor series expansion with the set of significant taps; converting the time-flat channel response to a vectorized channel response; transforming the vectorized channel response to a compressive sensing (CS) polynomial frequency response; aggregating the CS polynomial frequency response into a stacked frequency response; converting the stacked frequency response into a measured pilot frequency response; estimating a channel parameter vector based on the measured pilot frequency response; and generating a reconstructed channel response from the channel parameter vector. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus for compressive sensing tap identification for channel estimation comprising:
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means for identifying a set of significant taps in the time domain; means for representing a time-flat channel response using a Taylor series expansion with the set of significant taps; means for converting the time-flat channel response to a vectorized channel response; means for transforming the vectorized channel response to a compressive sensing (CS) polynomial frequency response; means for aggregating the CS polynomial frequency response into a stacked frequency response; means for converting the stacked frequency response into a measured pilot frequency response; means for estimating a channel parameter vector based on the measured pilot frequency response; and means for generating a reconstructed channel response from the channel parameter vector. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. An apparatus for compressive sensing tap identification for channel estimation comprising a processor and a memory, the memory containing program code executable by the processor for performing the following:
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identifying a set of significant taps in the time domain; representing a time-flat channel response using a Taylor series expansion with the set of significant taps; converting the time-flat channel response to a vectorized channel response; transforming the vectorized channel response to a compressive sensing (CS) polynomial frequency response; aggregating the CS polynomial frequency response into a stacked frequency response; converting the stacked frequency response into a measured pilot frequency response; estimating a channel parameter vector based on the measured pilot frequency response; and generating a reconstructed channel response from the channel parameter vector. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. A non-transitory computer-readable medium for compressive sensing tap identification for channel estimation, the computer-readable medium storing a computer program, wherein execution of the computer program is for:
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identifying a set of significant taps in the time domain; representing a time-flat channel response using a Taylor series expansion with the set of significant taps; converting the time-flat channel response to a vectorized channel response; transforming the vectorized channel response to a compressive sensing (CS) polynomial frequency response; aggregating the CS polynomial frequency response into a stacked frequency response; converting the stacked frequency response into a measured pilot frequency response; estimating a channel parameter vector based on the measured pilot frequency response; and generating a reconstructed channel response from the channel parameter vector. - View Dependent Claims (32, 33, 34, 35, 36, 37, 38, 39, 40)
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Specification