期刊文献+

距离-多普勒坐标系下基于相参积累的TBD算法研究 被引量:2

Research on Coherent Integration-Based Track-Before-Detect Algorithm Under Range-Doppler Reference Frame
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摘要 微弱目标的检测对雷达系统和检测方法提出很高的要求。首先采用速度检索和相位检索的方式,优化了基于相参积累的检测前跟踪算法;其次建立了简单的回波信号模型,分析了该算法的基本原理,探讨了该算法在当前条件下的可行性和局限性。实验仿真了目标幅度在帧间非起伏情况下目标的航迹规划,并且对其作了性能分析。实验表明,建立在距离-多普勒坐标系下的相参积累的算法,减少了搜索量和计算量,增加了信噪比的同时,取得了很好的航迹效果。 The weak target detection made a very high demand on radar system and detection methods.The Track-Before-Detect(TBD) algorithm based on coherent integration is optimized by using speed-scanning and phase-scanning method.A simple target echo signal model is established,and the basic principles of the algorithm are analyzed.The feasibility and limitations of the algorithm in the current conditions are discussed.The target route planning is simulated,and the performance analysis is made.Experimental results show that the algorithm based on the coherent integration in the range-Doppler coordinate can reduce the amount of search volume and calculation,increase Signal Noise Ratio(SNR) and achieve good track results.
出处 《中国电子科学研究院学报》 2011年第4期386-390,共5页 Journal of China Academy of Electronics and Information Technology
关键词 检测前跟踪(TBD) 速度搜索 相参积累 恒虚警处理 航迹规划 Track-Before-Detect(TBD) speed-scanning coherent integration constant false alarm rate processing route planning
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参考文献11

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共引文献38

同被引文献25

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