Methods, computer readable medium and devices for communication
US-2024284515-A1 · Aug 22, 2024 · US
US9288090B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9288090-B2 |
| Application number | US-201514599640-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 19, 2015 |
| Priority date | Feb 11, 2014 |
| Publication date | Mar 15, 2016 |
| Grant date | Mar 15, 2016 |
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The present disclosure relate to a spectrum sensing method and a spectrum sensing device. The spectrum sensing method includes: (a) sampling a received signal: (b) calculating a first operation value relating to a strength of the received signal based on the sampled signal; (c) searching for a first frequency band having the largest correlation with an input signal based on the sampled signal; (d) calculating a first residual component signal by removing a signal component in the first frequency band from the received signal; (e) calculating a second operation value relating to a strength of the first residual component signal; and (f) determining whether the frequency band occupied in the received signal is present based on a relative value of the first operation value and the second operation value.
Opening claim text (preview).
What is claimed is: 1. A spectrum sensing method, comprising: (a) sampling a received signal: (b) calculating a first operation value relating to a strength of the received signal based on the sampled signal; (c) searching for a first frequency band having the largest correlation with an input signal based on the sampled signal; (d) calculating a first residual component signal by removing a signal component in the first frequency band from the received signal; (e) calculating a second operation value relating to a strength of the first residual component signal; and (f) determining whether the frequency band occupied in the received signal is present based on a relative value of the first operation value and the second operation value. 2. The spectrum sensing method of claim 1 , wherein in the step (f), when a ratio of the first operation value to the second operation value exceeds a reference value, it is determined that the frequency band occupied in the first residual component signal remains. 3. The spectrum sensing method of claim 1 , further comprising: searching for a second frequency band having the largest correlation in the first residual component signal; calculating a second residual component signal by removing a signal component in the second frequency band from the first residual component signal; and calculating a third operation value relating to a strength of the second residual component signal, wherein in the step (f), it is determined whether the frequency band occupied in the sampled signal remains by comparing a first difference value which is a difference between the first operation value and the second operation value with a second difference value which is a difference between the second operation value and the third operation value. 4. The spectrum sensing method of claim 1 , wherein the step (f) includes: calculating the difference between the first operation value and the second operation value; normalizing the difference value; and when the normalized value is equal to or more than the reference value, determining whether the frequency band occupied in the first residual component signal remains. 5. The spectrum sensing method of claim 1 , wherein if it is determined in the step (f) that the occupied frequency band remains, the steps (b) to (f) are repeatedly performed using the first residual component signal calculated in the step (d) as an input, instead of the signal sampled in the step (b). 6. The spectrum sensing method of claim 1 , wherein the sampling uses a compressive spectrum sensing method. 7. The spectrum sensing method of claim 1 , wherein the first operation value and the second operation value are a F-norm value of a matrix representing a signal. 8. A spectrum sampling device, comprising: a sampling unit configured to sample a received signal; a first operation unit configured to calculate an operation value relating to a strength of an input signal; a frequency searching unit configured to search for a frequency band having the largest correlation with the input signal; a second operation unit configured to generate a residual component signal by removing a signal component in a specific frequency band from the input signal; and a determination unit configured to determine whether the occupied frequency band is present, wherein the first operation unit receives the signal sampled by the sampling unit and the residual component signal generated from the second operation unit, respectively, as the input signal to calculate a first operation value and a second operation value which are operation values for each signal, the frequency searching unit receives the signal sampled by the sampling unit or the residual component signal generated from the second operation unit as the input signal to search for the frequency band having the largest correlation for the received signal, and the determination unit determines whether the frequency band occupied in the received signal is present based on a relative value of the first operation value and the second operation value. 9. The spectrum sensing device of claim 8 , wherein the determination unit determines that the frequency band occupied in the first residual component signal remains when a ratio of the second operation value to the first operation value is equal to or more than a reference value. 10. The spectrum sensing device of claim 8 , wherein the frequency searching unit searches for a first frequency band from the sampled signal and searches for a second frequency band from the residual component signal generated from the second operation unit, the second operation unit calculates a first residual component signal by removing a signal component in the first frequency band from the sampled signal and calculates a second residual component signal by removing a signal component in the second frequency band from the first residual component signal, and the first operation unit additionally calculates a third operation value from the second residual component signal, and the determination unit determines whether the frequency band occupied in the sampled signal remains by comparing a first difference value which is a difference between the first operation value and the second operation value with a second difference value which is a difference between the second operation value and the third operation value. 11. The spectrum sensing device of claim 8 , wherein the determination unit calculates a difference between the first operation value and the second operation value and normalizes the calculated difference value to determine whether the frequency band occupied in a signal currently input to the second operation unit remains when the normalized value is equal to or more than the reference value. 12. The spectrum sensing device of claim 8 , wherein when the determination unit determines that the frequency band occupied in the signal currently input to the second operation unit remains, operations of each of the frequency searching unit, the first operation unit, and the determination unit are repeated based on the residual component signal generated from the second calculation unit. 13. The spectrum sensing device of claim 8 , wherein the sampling unit uses a compressive spectrum sensing method. 14. The spectrum sensing device of claim 8 , wherein the first operation value and the second operation value are a F-norm value of a matrix representing a signal. 15. A compressive spectrum sensing method, comprising: detecting a first signal component derived from an input signal and a second signal component obtained by removing the strongest signal component in a frequency band in the first signal component from the first signal component; calculating a first operation value and a second operation value relating to sizes of each of the first signal component and the second signal component; and determining whether the frequency band occupied in the input signal is present based on a relative value of the first operation value and the second operation value.
Assessment of spectral gaps suitable for allocating digitally modulated signals, e.g. for carrier allocation in cognitive radio (for spectrum sharing between different networks H04W16/14) · CPC title
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