Radiation source direct positioning method based on global narrowband model under sparse Bayesian framework
A technology of sparse Bayesian and positioning method, which is applied in the direct positioning of radiation source and the field of radiation source positioning, and can solve the problem of low probability of successful positioning
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[0073] A direct localization method for radiation sources based on a global narrowband model under a sparse Bayesian framework, such as figure 1 As shown, the direct positioning method of the radiation source includes:
[0074] Step 1: For L discrete base stations and N narrowband radiation sources in the plane, model the received data of the global array under the condition that the radiation source signal has narrowband characteristics for the global array composed of all base stations, where each base station Linearly configure M sensors, and have M≥2, L≥2, 1≤N≤ML-1; then perform block sparse Bayesian extension on the received data model of the global array to obtain the received data of the global array sparse model;
[0075] Step 2: Obtain the posterior update of the signal statistical parameters according to the Gaussian statistical characteristics of the signal;
[0076] Step 3: Use the marginal probability density integral to obtain the parameter estimation cost func...
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