Partial reconfiguration based broadband spectrum perception method

Abstract

The invention provides a partial reconfiguration based broadband spectrum perception method, aiming to apply the idea of partial reconfiguration to a minimum norm solution based interior point method. Different from a traditional reconfiguration method without adjustment, the broadband spectrum perception method is characterized in that gradual adjustment is performed according to sampling values and through multiple iterative calculations. The number of iterations is regular but changes with the energy of reconfigured sub-channels. If the energy is large, the number of the iterations is reduced, and if the energy is small, the number of the iterations is increased. The partial reconfiguration based broadband spectrum perception method can be used in the situation that the sparseness is unknown or even in the broadband spectrum scenario with the changed sparseness, calculation time is reduced under the condition that detection precision is guaranteed, and timeliness of detection is improved.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a wideband spectrum sensing method based on partial reconstruction. Background technique [0002] In cognitive radio (CR, Cognitive Radio), the two goals of providing reliable communication and efficient use of radio spectrum determine the importance of fast and accurate spectrum sensing. However, when sensing wideband spectrum, the required high sampling rate and massive sampling data processing capability pose severe challenges to the spectrum sensing hardware. In reality, the number of sub-bands occupied by primary users on the broadband spectrum is far less than the total number, which satisfies sparsity. So people naturally think of Compressed Sampling (CS, Compressed Sampling, also known as Compressed Sensing, Compressive Sensing). It shows that as long as the signal is compressible or sparse in a certain transformation domain, an observation matrix unrelated to the ...

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Problems solved by technology

[0005] In order to solve the problem that the calculation amount is huge and the compression ratio is affected by the sparsity of the original signal in the existing wideband spectrum sensing technology, the present invention provides a wideband spectrum sensing method based on partial reconstruction, which can be used when the sparsity is unknown or even sparse In the wide-band spectrum scene with variable degree, and the calculation time is reduced while the detection accuracy is guaranteed, and the real-time performance of detection is improved.

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