基于脉冲压缩的距离超分辨技术
RANGE SUPER-RESOLUTION BASED ON PULSE COMPRESSION
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摘要: 利用高分辨阵列处理算法实现重叠回波时延超分辨是扩展雷达距离分辨率的有效方法,而降低这类算法适用的信噪比(SNR)门限是其能否实用的关键。本文针对大时宽带宽积(TB)信号压缩后能量集中,峰值SNR提高的特点,提出了一种低SNR下大TB信号距离超分辨新方法.即利用脉压和旁瓣抑制技术对大TB信号进行预处理,结合噪声的预白化,对截取的脉压输出主瓣进行超分辨处理。计算机模拟表明该方法可以在低SNR下实现多目标的距离超分辨估计,并大大降低数据存储量和计算量.Abstract: Estimating the arrival time of overlapping echoes by high resolution array processinh algorithms can efficiently expand the ability of target resolution in radar.Lowering the SNR trhreshold at which the algorithms take effect has particularly been an area of focus for practical applications.In this paper a novel method based on pulse comprression for range super-resolution is presented.The proposed method,especially suitable to large time-bandwidth product (TB) signals,can be applied at very low SNR and greatly reduce the computational load in comparison with the known approaches.
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