摘要
空间弱目标的远距离探测与跟踪是星载雷达目标探测的关键技术之一,受星上计算机实时计算能力和存储能力的限制,空间远距离、弱目标的长时间直接全相干积累难以实现。在已有的分段处理方法基础上,提出了一种段内相干-段间二次相干积累的长时间积累算法,该算法对存储要求低,且具有很好的积累效果,非常适合实时处理和时间重叠处理。给出了算法的实现步骤和积累效率分析,与全相干处理相比该算法的额外信噪比损失仅为-2.4 dB。仿真结果验证了理论分析的结果和算法的有效性。
The long-distance detection and tracking of the weak target is one of the key techniques of the space-borne radar. Because of the limitation of the space-borne computer on the real-time processing and the memory property, it＇s hard to implement the long-time integration algorithm with direct full-coherence accumulation to the weak target in the long-distance space. Based on the existing segment processing algorithms, a long-time integration algorithm based on coherence within segment-double coherence accumulation among segment is proposed. This algorithm requires lower memory and is adaptive for the real-time processing and timeinterleaving processing, while the effective integration can also be achieved by it. The algorithm implementation process is introduced and its integration efficiency is analyzied theoretically, compared with the full-coherence accumulation algorithm, 2.4 dB is lost. The simultion results test and 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
2007年第10期1638-1642,共5页
Systems Engineering and Electronics
基金
国家"863"高技术研究发展计划资助课题(2004AA742203)
关键词
星载雷达
信噪比
目标探测
算法
space-borne radar
signal to noise radio
target detection
algorithm
