摘要
瞬时高度信息的实时提取是飞行器低空突防的关键,因此在短时间信号积累条件下实现测高显得尤为重要。然而,短时间的信号积累会带来测高精度低与抗干扰能力差两方面的问题,为此提出一种段内数据重构-段间相干平均的短时间积累算法,该算法可有效改善雷达的抗干扰能力与实时测高性能。给出了算法的实现步骤,与传统的线性调频连续波雷达低空测高算法相比,该算法测高精度高,并可获得额外信噪比增益。仿真结果验证了理论分析的结果和算法的有效性。
To obtain instantaneous height information on time is one of the key techniques of the low-altitude penetration aircraft,so realizing the height measurement with short-time integration is an operational requirement.However short-time brings low accuracy in height finding and weak anti-jamming ability.To solve this problem,a short-time integration algorithm based on data reconstruction within segment and coherence accumulation among segments is proposed.This algorithm can improve the accuracy in height finding and its anti-jamming ability in effective.The algorithm implementation process is introduced,and the proposed algorithm has an advantage in height finding and anti-jamming compared with the traditional height-measuring algorithm based on linear frequency modulated continuous wave(LFMCW) radar.The simulation results verify the theoretical analysis result and the algorithm efficiency.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第1期53-57,共5页
Systems Engineering and Electronics
基金
总装预研基金(JG2008040)资助课题
关键词
测高
多重数据排列
相干平均
线性调频
频谱细化
height-measuring
multiple data ordering
coherent average
linear frequency modulation(LFM)
spectrum zooming