Multi-sensor multi-frame joint detection algorithm based on posteriori information fusion

Abstract

The invention discloses a multi-sensor multi-frame joint detection algorithm based on posteriori information fusion. The method comprises steps that S1, system parameters are initialized, including the number M of sensors included in a system, the size Nx*Ny of a sensor echo data plane and the number K of algorithm joint processing cycles, and a variable k=1 is initialized; S2, echo data is received; S3, local posteriori probability density function calculation is performed; S4, a posterior probability density function represents approximate calculation of parameters; S5, information transmission is performed; S6, global posteriori probability density calculation is performed; and S7, target track estimation is performed. The algorithm is advantaged in that advantages of both multi-sensorinformation fusion technology and the multi-frame joint detection technology can be performed, detection and tracking performance of the algorithm for weak targets is further improved, transmission cost of the algorithm is reduced through Gaussian mixture approximation, algorithm implementation efficiency is improved while algorithm performance is guaranteed, and the algorithm can be widely applied to the networking radar, MIMO radar, array sonar and other fields.

Description

technical field [0001] The invention belongs to the field of target detection and tracking, relates to the technical fields of multi-sensor fusion and weak target detection and tracking, and in particular relates to a multi-sensor and multi-frame joint detection algorithm based on posterior information fusion. Background technique [0002] Multi-sensor fusion is a research hotspot in the field of target state estimation. This method can use the observation data of the target from multiple angles by multiple sensors to obtain the spatial diversity of the target and improve the estimation accuracy of the target state. In recent years, the research of multi-sensor fusion algorithm has received extensive attention. However, these research works are mainly concentrated in the field of single-frame detection, that is, the algorithm only uses the echo data of multiple sensors at the current moment to complete the detection and estimation of the target. When the signal-to-noise ra...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the high complexity of the multi-sensor multi-frame joint detection algorithm in the prior art, and to provide a kind of multi-sensor information fusion and multi-frame joint detection technology. Advantages, and through Gaussian Hybrid approximation reduces the transmission cost of the algorithm, and improves the efficiency of the algorithm while ensuring the performance of the algorithm. A multi-sensor and multi-frame joint detection algorithm based on posterior information fusion

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