US 12,259,416 B2
Techniques for empirical mode decomposition (EMD)-based noise estimation
Mahdi H. Al-Badrawi, Durham, NH (US); Nicholas J. Kirsch, Portsmouth, NH (US); and Bessam Z. Al-Jewad, Madbury, NH (US)
Assigned to The University of New Hampshire, Durham, NH (US)
Filed by The University of New Hampshire, Durham, NH (US)
Filed on Oct. 29, 2021, as Appl. No. 17/452,815.
Application 17/452,815 is a continuation of application No. 16/334,345, granted, now 11,169,190, previously published as PCT/US2017/052302, filed on Sep. 19, 2017.
Claims priority of provisional application 62/396,290, filed on Sep. 19, 2016.
Prior Publication US 2022/0120795 A1, Apr. 21, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G01R 23/20 (2006.01); G06F 17/14 (2006.01)
CPC G01R 23/20 (2013.01) [G06F 17/14 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A system comprising:
a controller configured to:
decompose a received signal into a plurality of intrinsic mode functions (IMFs), the plurality of IMFs including a first IMF capturing the highest frequencies of the received signal;
determine a power of the first IMF; and
determine an estimated total noise power for the received signal based on the determined power of the first IMF and not based on a determined power of any of the plurality of IMFs subsequent to the first IMF, and provide an output representative of the estimated total noise power;
provide a spectrum availability output representative of unoccupied portions of a bandwidth of interest in the received signal for the cognitive radio; and
a transmitter configured to transmit a signal in the unoccupied portions of the bandwidth of interest.