Detection of hypersonic weak targets by high pulse repetition frequency radar based on multi-hypothesis fuzzy-matching radon transform

For the integration detection of near space hypersonic weak targets by high pulse repetition frequency (PRF) radar, a novel method named Multi-Hypothesis Fuzzy-Matching Radon transform (MHFM-RT) is proposed for the near space hypersonic target detection and tracking. For remote hypersonic target detection, to avoid range ambiguity, current radars always use a low PRF mode, which limit the number of pulse accumulations. Using the high PRF mode, the fuzzy folding will appear in the target range measurements when target trajectory crosses range fuzzy intervals. Therefore, there is a contradiction between range ambiguity and energy accumulation. The proposed method is used to match the fuzzy measurements, so as to realise the correct integration in the condition of range ambiguity. Firstly, considering the need of range ambiguity resolution, the mode of staggered PRF is used. Secondly, the first frame measurements are periodically extended for multiple-fuzzy hypothesis. Finally, the weak target track is accumulated in MHFM-RT domain, and the signal integration and ambiguity resolution can be realised simultaneously. The proposed method expands the Variable-Diameter-Arc-Helix Radon transform (VDAH-RT) method to fuzzy folding conditions. Compared with the existing methods, for 7-scan measurements non-coherent integration, the detection sensitivity of the proposed method is about 0.5–1 dB higher than that of the IMM hybrid filter algorithm, and about 1 dB higher than that of the RHT-TBD approach, and it needs less storage space and has higher detection probability.