Cognitive radio spectrum sensing method based on random matrix
A cognitive radio and random matrix technology, applied in wireless communication, electrical components, transmission monitoring, etc., can solve the problem of low detection performance
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specific Embodiment approach 1
[0048] Specific implementation mode 1: A random matrix-based cognitive radio spectrum sensing method in this implementation mode is implemented in the following steps:
[0049] Step 1, using multiple antennas to receive the signal to be sensed;
[0050] Step 2, expressing the received signal data with a sampling matrix;
[0051] Step 3, solve the singular value of the sampling matrix, find out the largest singular value and the smallest singular value, and determine the test statistic;
[0052] Step 4: Comparing the test statistic with the judgment threshold, making a judgment based on the comparison result of the test statistic and the judgment threshold, the judgment criterion: when the test statistic is greater than or equal to the judgment threshold, it is judged that the primary user signal exists, otherwise the primary user signal is considered does not exist.
[0053] The communication environment of this embodiment is the sensing scene of a single receiving antenna. ...
specific Embodiment approach 2
[0054] Specific embodiment two: the difference between this embodiment and specific embodiment one is: the signal data received in the step two is represented by a sampling matrix as follows:
[0055] Assume that the cognitive user has M receiving antennas, and each receiving antenna must sample the received signal, and set the number of sampling as K, occupying all the columns of each row of the matrix, and the data of the first root is the first row of the matrix, The data received by the second antenna is the second row of the matrix, and so on, the data received by the Mth antenna is the Mth row of the matrix, and the matrix composed of the received signals is called a sampling matrix, and there are M *K data, form the data into a matrix of M*K, called the sampling matrix, the form is as follows:
[0056] X = x 1 ( ...
specific Embodiment approach 3
[0060] Specific implementation mode three: the difference between this implementation mode and specific implementation mode one or two is: the determination of test statistics in the step three is specifically:
[0061] The test statistic selects the ratio of the largest singular value to the smallest singular value of the sampling matrix Among them, A is a Gaussian random matrix with N rows and N columns.
[0062] Although there are still multiple antennas, the number of antennas is fixed (N=4), and the signal-to-noise ratio is no longer fixed at -20dB. The purpose is to study the change of detection probability under different signal-to-noise ratio conditions.
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