Ultra-narrow pulse radar distance correlation target echo space aggregation method

Abstract

The invention discloses an ultra-narrow pulse radar distance correlation target echo space aggregation method, which comprises the steps: setting two thresholds, and respectively detecting a strong scattering point and a weak scattering point of a target HRRP; associating the strong scattering points and the weak scattering points of the same target according to a distance similarity criterion toobtain a preliminary aggregation fragment; then carrying out bilateral valley point search on the preliminary aggregation segment to determine a starting position and an ending position of the aggregation segment, carrying out progressive association to further combine the aggregation segment, and screening and eliminating the aggregation segment with unreasonable signal-to-clutter ratio and length to obtain a fine aggregation segment so as to complete target echo aggregation. According to the method, the ultra-narrow pulse echoes of the targets can be accurately, quickly and stably aggregatedin the radar echoes containing the multiple targets, noise and clutters.

Description

technical field [0001] The invention belongs to the field of ultra-narrow pulse radar data processing, and in particular relates to a space aggregation method of ultra-narrow pulse radar range-correlated target echoes. Background technique [0002] Ultra-narrow pulse radar refers to a type of radar whose pulse width of a single echo after processing is much smaller than the size of the target. For ultra-narrow pulse radar, the echo of the target contains multiple ultra-narrow pulses, which correspond to different scattering points on the target. Therefore, the extremely narrow pulse echo of the target can represent the distribution of target scattering points along the radar line of sight, which is usually called the high-resolution range profile (HRRP) of the target. [0003] Spatial aggregation of target echoes (hereinafter referred to as "echo aggregation") refers to gathering together extremely narrow pulses belonging to the same target in extremely narrow pulse radar e...

AI Technical Summary

Problems solved by technology

In order to avoid false alarms, the threshold value of the single-threshold segmentation method is often relatively high, which may miss relatively weak echoes on the target, causing deviations in the aggregation results, so the accuracy and robustness of the single-threshold segmentation method are poor

Moreover, the single-threshold segmentation method cannot aggregate multiple targets separately, which has great limitations

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