Cognitive radio spectrum detection interval adjusting method based on channel characteristics
A cognitive radio and spectrum detection technology, which is applied in the field of cognitive radio spectrum detection interval adjustment based on channel characteristics, can solve problems such as no detection of users, suboptimal detection performance, and failure to comply with the law of user signal appearance and exit, etc. To achieve the effect of improving flexibility
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[0027] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.
[0028] Firstly, the spectrum detection model is established, and the spectrum detection is a binary hypothesis testing model, as shown in formula [11] and formula [12], it has two hypothetical states, H 0 Corresponding to the channel being in an idle (Idle) state, that is, there is no user signal in the channel, only noise signals exist; H 1 The corresponding channel is in the occupied (Busy) state, that is, there are both noise signals and user signals in the channel:
[0029] Formula [11]:
[0030] Formula [12]:
[0031] In formula [11] and formula [12], x(k) represents the detected signal; n(k) is the mean value is 0, and the variance is Gaussian white noise signal, that obeys f 0 ~ N(0, ) distribution; ss(k) is the authorized user signal, which is u1 , wi...
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