A multi-sensor and multi-frame joint detection algorithm based on posterior information fusion

Abstract

The invention discloses a multi-sensor and multi-frame joint detection algorithm based on posterior information fusion, which includes the following steps: S1, initializing system parameters, including: the number of sensors included in the system M, the size of the sensor echo data plane N x ×N y , the algorithm joint processing cycle number K; initialization variable k=1; S2, receiving echo data; S3, performing local posterior probability density function calculation; S4, approximate calculation of posterior probability density function characterization parameters; S5, performing information transmission ; S6. Calculating the global posterior probability density; S7. Estimating the target track. The algorithm of the present invention can take advantage of multi-sensor information fusion and multi-frame joint detection technology at the same time, further improve the detection and tracking performance of the algorithm for weak targets; and reduce the transmission cost of the algorithm through Gaussian mixture approximation, and improve the performance of the algorithm while ensuring the performance of the algorithm. Algorithm implementation efficiency; can be widely used in many fields such as networking radar, MIMO radar, array sonar, etc.

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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