Signal separation method under cognitive network environment
A signal separation and cognitive network technology, which is applied in the field of signal separation in the cognitive network environment, can solve the problems that cognitive users cannot effectively avoid malicious terminals, malicious signals occupy a large area, and affect communication efficiency, etc.
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[0085] image 3 It is a schematic block diagram of a specific implementation of the signal separation method in the cognitive network environment of the present invention
[0086] In this embodiment, there are two normal cognitive terminals sending normal source signals S1 and S2, and two malicious terminals sending malicious signals S3 and S4, that is, there are 4 source signals, including 2 normal signals and 2 malicious signals . The receivers R1-4, namely the number of receivers M=4, send the received signal to the central node for processing, and the signal-to-noise ratio is 10db. The bandwidth and carrier of these source signals are shown in Table 1:
[0087] source signal
bandwidth
Carrier
Types of
S1
20MHz
40MHz
normal signal
S2
10MHz
80MHz
normal signal
S3
10MHz
40MHz
Malicious signal
[0088] S4
10MHz
40MHz
Malicious signal
[0089] Table 1
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