Semi-blind spectrum sensing method suitable for high-order MIMO and based on characteristic value detection
A spectrum sensing and eigenvalue technology, applied in the field of cognitive radio, achieves good application value, easy implementation, and high calculation accuracy
Active Publication Date: 2021-04-06
JISHOU UNIVERSITY
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For the former, the existing algorithm uses the method of eigenvalue decomposition to calculate the largest eigenvalue, and its computational complexity is Here M is the number of antennas
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[0047] Calculate the sampling covariance matrix according to the N received signal vectors obtained by N consecutive samples:
[0048]
[0049] In the additive white Gaussian noise channel, the multi-antenna received signal is at H 0 The state is independent and identically distributed, while in H 1 Due to the existence of the primary user signal, there is correlation between the signals received by multiple antennas. The spectrum sensing algorithm based on the largest eigenvalue test of the sampling covariance matrix takes advantage of this feature and shows excellent sensing performance in the process of related signal detection.
[0050] The existing algorithm uses the method based on eigenvalue decomposition to solve the maximum eigenvalue of the sampling covariance matrix, and the corresponding computational complexity is For matrices with low dimensions, the existing eigenvalue solving methods can easily obtain results. However, in high-order MIMO systems, the mat...
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The invention relates to a semi-blind spectrum sensing method suitable for high-order MIMO and based on characteristic value inspection. The method comprises the steps: calculating the maximum characteristic value of a sampling covariance matrix on the basis of a power method, and calculating a sensing judgment threshold on the basis of a polynomial fitting method: firstly, continuously sampling M antenna receiving signals for N times so as to calculate the sampling covariance matrix; calculating the maximum characteristic value lambda of the sampling covariance matrix through a power method, calculating the perception decision amount t = lambda / sigma2 accordingly, wherein sigma2 is the additive white Gaussian noise variance; calculating a perception judgment threshold gamma based on a polynomial fitting method; finally, performing perception judgment: when t is greater than gamma, judging that the main user signal exists, and when t is less than or equal to gamma, judging that the main user signal does not exist. The method has the advantages of low calculation complexity and reliable sensing result, and is suitable for solving the problem of real-time main user signal detection in a high-order MIMO cognitive radio system.
Description
technical field [0001] The invention relates to a semi-blind spectrum sensing method based on eigenvalue test suitable for high-order MIMO, and belongs to the field of cognitive radio in wireless communication technology. Background technique [0002] With the rapid development of mobile Internet, Internet of Things, and 5G technologies, large-scale device access has become a common application scenario. In this case, the problem of shortage of spectrum resources becomes more and more severe. How to effectively solve the contradiction between the increasing demand for spectrum and the supply of limited spectrum resources has great practical significance. At present, there are two main methods to solve the shortage of spectrum resources: one is to develop new spectrum resources. For example, millimeter wave communication technology uses spectrum resources with a frequency of 30GHz-300GHz, and future 6G plans to use higher frequency terahertz and visible light spectrum; seco...
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Login to View More IPC IPC(8): H04B7/0413H04B17/382
CPCH04B7/0413H04B17/382
Inventor 雷可君杨喜田冲李曙张耿张仁民
Owner JISHOU UNIVERSITY