Energy perception based method for cognitive user to estimate parameters of authorized user in cognitive radio communication system
A technology for recognizing users and authorized users, which is applied in the field of parameter estimation of authorized users, and can solve problems such as inability to benefit and obtain authorized user parameters
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specific Embodiment approach 1
[0060] Specific implementation mode one: the following combination figure 1 and figure 2 Describe this embodiment, the method for estimating parameters based on energy perception from cognitive users to authorized users in the cognitive radio communication system described in this embodiment, which includes the following steps:
[0061] Step 1: The cognitive user uses the M / M / 1 / Z queuing model to model each authorized channel to obtain the authorized channel model, and obtains the state probability distribution of the authorized channel through calculation; Z is the authorized channel buffer capacity;
[0062] Step 2: use the hidden Markov model to describe the busy and idle state changes of the authorized channel, and obtain the hidden state transition probability matrix of the authorized channel;
[0063] Step 3: The cognitive user calculates the detection probability and false alarm probability through the energy perception method;
[0064] Step 4: Obtain the confusion m...
specific Embodiment approach 2
[0068] Embodiment 2: This embodiment further explains Embodiment 1. In Step 1 of this embodiment, the cognitive user uses the M / M / 1 / Z queuing model to model each authorized channel, and obtains the authorized channel through calculation. The specific method of the state probability distribution of is:
[0069] The authorized channel model is based on FCFS rules; the authorized channel state ζ∈{0,1,2,...,Z} is set, when 0≤ζ≤Z-1, λ ζ Indicates the arrival rate of the authorized channel state from ζ to ζ+1; when 1≤ζ≤Z, μ ζ Represents the service rate of the authorized channel state from ζ to ζ-1; thus, the authorized channel state balance equation is obtained as:
[0070] ∂ P 0 ( t ) ...
specific Embodiment approach 3
[0078] Specific implementation mode three: the following combination figure 1 and figure 2 Describe this embodiment, this embodiment will further explain the second embodiment, in the second step of this embodiment, the hidden Markov model is used to describe the busy and idle state changes of the authorized channel, and the hidden state transition probability matrix of the authorized channel is obtained The specific method is:
[0079] Hidden Markov model ψ=(A,B,π),
[0080] Among them, A is the hidden state transition probability matrix, B is the confusion matrix, and π is the initial state probability distribution of authorized users; the actual use of authorized users for authorized channels is regarded as a hidden state, and H 1 means busy, H 0 Indicates that it is idle; the detection result of the usage of the authorized channel by the cognitive user is regarded as an observable sequence, represented by D 1 Indicates that the detection result is busy, D 0 Indicates...
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