Spectrum sensing device, method and program based on cognitive radio

A cognitive radio and spectrum sensing technology, which is applied in the field of multi-antenna-based compressed broadband spectrum sensing technology, can solve the problems of reduced sampling rate, low detection performance of broadband spectrum sensing, and the difficulty of solving the second problem, so as to reduce the complexity of implementation degree, improve the effect of detection performance

Inactive Publication Date: 2011-11-23
SONY CORP
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  • Claims
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Problems solved by technology

[0007] In summary, the compressed wideband spectrum sensing method solves the first problem encountered in the wideband spectrum sensing method in cognitive radio, that is, the realization of an extremely high-speed AD converter; but the introduction of compressed sensing reduces the sampl

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  • Spectrum sensing device, method and program based on cognitive radio
  • Spectrum sensing device, method and program based on cognitive radio
  • Spectrum sensing device, method and program based on cognitive radio

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application example 1

[0122] Figure 13 A simplified block diagram of a first specific application example of a spectrum detection device according to an embodiment of the present invention is shown. exist Figure 13 In the shown spectrum sensing device 1300, the sampling unit 510 adopts Figure 6 In the configuration shown in , first, the analog signals on multiple antennas are combined into one channel by means of equal-gain combination, and then the combined signal is sampled by MWC method. The working mode of MWC is as follows image 3 shown. The restoration unit 520 may use the above-mentioned OMP algorithm to restore the signal. Spectrum detection unit 530 can be configured to realize as Figure 12 A method 1200 for energy detection of wideband sparse signals is shown. The spectrum sensing device 1300 according to this application example operates as follows:

[0123] ● The signals received on multiple antennas (such as antenna 1 to antenna R) are combined in an equal-gain combination m...

application example 2

[0128] Figure 14 A simplified block diagram of a second specific application example of the spectrum detection device according to the embodiment of the present invention is shown. exist Figure 14 In the shown spectrum sensing apparatus 1400, in the processing of the sampling unit 510, the signals on each antenna are respectively sampled using the above-described improved MWC that can reduce the number of parallel branches. exist Figure 14 In the recovery unit 520, a combination of Figures 7A-7B Describe the configuration of the recovery unit. exist Figure 14 In the spectrum detection unit 530, a combination of Figure 9 Describe the configuration of the spectrum detection unit. The spectrum sensing device according to this application example operates as follows:

[0129] ●Sampling unit for the analog signal x received on each antenna i (t) Sampling using the modified MWC method described above. For specific processing, reference may be made to the above descrip...

application example 3

[0133] Figure 15 A simplified block diagram of a third specific application example of the spectrum detection device according to the embodiment of the present invention is shown. exist Figure 15 In the spectrum sensing apparatus 1500 shown, the sampling unit 510 adopts the above-mentioned improved MWC, and samples signals on each antenna by using the improved MWC method that reduces hardware implementation complexity. exist Figure 15 In the recovery unit 520, a combination of Figures 7A-7B The configuration of recovery unit 520 is described. exist Figure 15 In the detection unit 530, a combination of Figure 10 The configuration of the spectrum detection unit 530 is described. The spectrum sensing device according to this application example operates as follows:

[0134] ●Sampling unit for the analog signal x received on each antenna i (t) Sampling using the modified MWC method described above. For specific processing, reference may be made to the above descript...

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Abstract

The invention provides a spectrum sensing device and method based on cognitive radio and communication terminal equipment. The spectrum sensing device comprises a sampling unit, a recovery unit and a spectrum detection unit, wherein the sampling unit is configured to sample at a compression sensing-based sampling rate which is lower than a Nyquist rate specific to a signal which comes from a main user and is received by R antennae of at least one secondary user, wherein R is a natural number of more than 1; the recovery unit is configured to recover a sampled signal obtained by using the sampling unit into a sampled signal at the Nyquist rate; and the spectrum detection unit is configured to perform spectrum detection on a signal recovered by using the recovery unit to obtain the distribution situation of idle spectrums in usable spectrums of the main user. According to the spectrum sensing device and method based on cognitive radio and the communication terminal equipment disclosed by the embodiment of the invention, a multi-antenna technology is combined with compression spectrum sensing, so that the detection performance is enhanced. Moreover, the implementation complexity can be lowered.

Description

technical field [0001] The present invention generally relates to cognitive radio technology, more specifically to a spectrum sensing technology based on cognitive radio, and in particular to a multi-antenna-based compressed wideband spectrum sensing technology. Background technique [0002] The compressed spectrum sensing technology in cognitive radio combines the vigorous development of cognitive radio technology in current communication and the emerging theory of compressed sensing in digital signal processing, and has become a new research hotspot of scholars. For example, knowledge about cognitive radio technology and compressed sensing can be obtained from: Ian F. Akyildiz; Lee, Won-Yeol; Vuran, Mehmet C.; Mohanty, Shantidev, “NeXtgeneration / dynamic spectrum access / cognitive radio wireless networks: A survey", Computer Networks, v 50, n 13, p2127-2159, September 15, 2006; Donoho, D.L.; "Compressed sensing", Information Theory, IEEE Transactions on Volume 52, Issue 4, A...

Claims

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Application Information

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IPC IPC(8): H04B17/00H04B7/08H04B17/13
Inventor 崔琪楣杨现俊陶小峰杨锐张雪菲
Owner SONY CORP
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