摘要
提出了一种距离分段动目标检测的方法。对近距离目标使用传统的MTD算法,而对远距离目标使用基于Keystone快速变换的相参积累算法来解决越距离单元走动问题。该方法不仅有效补偿了远距离目标的越距离走动,而且能够有效的降低多核DSP的运算量。通过设计8片TMS320C6678处理器平台对外场实时数据的处理与分析,验证了本文方法的有效性,可以用于泛探雷达的目标检测。
In the paper,a new method of segmentation of long distance for moving target detection is proposed.The common MTD algo- rithm is used for detection for the close distance target, and the Keystone algorithm is used to compensate for walking distance problem caused by coherent integration for long distance target.The experiment results show that this method can effectively reduce the computa- tion as well as make compensation for range migration problem. It is verified by the outfield experimental data processing on processor platform of 8-chip TMS320C6678.It can be used for target detection of ubiquitous radar.
作者
王海松
王培早
苏阳
张月
Wang Haisong Wang Peizao Su Yang Zhang Yue(Key Laboratory of Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China)
出处
《单片机与嵌入式系统应用》
2017年第11期45-49,共5页
Microcontrollers & Embedded Systems
基金
国家级-国家自然科学基金(61571449)
