Multi-level Adaptive Cooperative Processing Technique for Multi-radar

In adversarial scenario with multiple and dynamic targets, to match cooperative processing methods with the targets, environment and the resources of distributed multi-radar, a multi-level cooperative processing framework was designed. The framework includes four cooperative processing levels: signal level, feature level, point level and track level. Aiming at application, a multi-radar signal level joint detection model based on unified spatial grid was established. Time-space registration and multi-radar signal fusion were achieved by the model. A feature level distributed detection model was designed. It compressed transmission data for fusion detection. The cost-effectiveness of cooperative processing technique at different levels were comprehensive analysed. Adaptive selection principles for cooperative processing methods in typical application scenarios were provided. The effectiveness of the proposed technique was confirmed through simulation and typical experiment system. Results indicates that the technique can dynamically adapt to changes in targets and environments, also improve the efficiency of multi-radar cooperative detection.