In order to increase the signal to noise ratio(SNR)of the radar echo signal so as to detect the small target,a long-time coherent integration is performed as an important signal processing step.However,the integration performance of high-speed ma-neuvering targets may be greatly influenced by the range migration and Doppler frequency broadening(DFB).To address the DFB problem,a DFB compensation method based on time-frequency ridge(TFR)extraction is proposed in this paper.The acceleration is then obtained according to the mathematic relation between the slope of the extracted TFR and the acceleration.The shortcom-ings of traditional search methods,such as low computational efficiency,the requirement for prior information on the search range,and accuracy influenced by the search step size,are overcome by the proposed method.Rapid and accurate acceleration estimation is enabled also under low SNR conditions without prior acceleration information,thus resolving the DBF issue and achieving effec-tive inter-pulse coherent accumulation.The proposed method is demonstrated through simulation experiments to rapidly and accu-rately estimate the target's acceleration under low SNR conditions without any prior information,thereby effectively achieving accu-rate compensation and detection of maneuvering small targets based on the pulse compression signal.
关键词
机动小目标检测/时频脊线提取/相参积累/多普勒展宽
Key words
maneuvering small target detection/time-frequency ridge(TFR)extraction/coherent integration/Doppler frequency broadening(DFB)
维普
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