The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 12, 2016

Filed:

Nov. 19, 2014
Applicants:

Dina Katabi, Cambridge, MA (US);

Omid Salehi-abari, Cambridge, MA (US);

Ezzeldin Hamed, Cambridge, MA (US);

Haitham Z. Al-hassanieh, Cambridge, MA (US);

Lixin Shi, Cambridge, MA (US);

Abhinav Agarwal, Waltham, MA (US);

Anantha Chandrakasan, Belmont, MA (US);

Vladimir Stojanovic, Berkeley, CA (US);

Inventors:

Dina Katabi, Cambridge, MA (US);

Omid Salehi-Abari, Cambridge, MA (US);

Ezzeldin Hamed, Cambridge, MA (US);

Haitham Z. Al-Hassanieh, Cambridge, MA (US);

Lixin Shi, Cambridge, MA (US);

Abhinav Agarwal, Waltham, MA (US);

Anantha Chandrakasan, Belmont, MA (US);

Vladimir Stojanovic, Berkeley, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 27/26 (2006.01); H04B 1/40 (2015.01); H04L 27/00 (2006.01); H04L 25/03 (2006.01); G01P 3/489 (2006.01);
U.S. Cl.
CPC ...
H04L 27/265 (2013.01); H04B 1/40 (2013.01); H04L 27/0006 (2013.01); H04L 27/2666 (2013.01); G01P 3/489 (2013.01); H04L 25/03038 (2013.01); H04L 27/263 (2013.01);
Abstract

An ASIC for monitoring wideband GHz spectrum to sense respective frequency components present in the spectrum. The ASIC implements Fast Fourier Transform (FFT) techniques to facilitate identification of one or more frequency components of a sparse signal after the signal is sub-sampled at a rate below the Nyquist criterion. The ASIC computes a first Fast Fourier Transform (FFT) of a first sub-sampled set of samples of a time-varying signal representing the monitored spectrum and sampled at a first sampling rate, and further computes a second FFT of a second sub-sampled set of samples of the time-varying signal sampled at a second sampling rate different from the first sampling rate. In one example, each of the first FFT and the second FFT is a low-radix FFT to facilitate a low-power and low-cost ASIC implementation of wideband spectrum sensing.


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