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复杂多变环境下机载雷达目标探测模型的建立 被引量:3

Airborne Radar Target Detection Modeling in Complex and Changeable Environment
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摘要 针对机载多普勒雷达工作环境气候多变和工作高度范围大的特点,提出一种考虑大气衰减、多径效应和大气折射等环境影响的机载雷达目标探测模型。该探测系统的建模是将这三种环境影响因素引入目标探测模型,计算目标探测概率,分析目标距离、角度的测量误差。通过分析得出,目标探测概率主要受到大气衰减和多径效应的影响,测量误差主要是由多径效应和大气折射造成的。结合大气衰减和多径效应对探测概率的影响因子得到复杂多变环境下探测概率计算公式,分析环境因素引起的目标距离、角度测量误差的大小,建立了适用于复杂多变环境的目标探测模型。仿真实验表明了模型合理地考虑了环境因素对探测概率和目标距离、角度测量误差的影响,验证了模型的有效性。 The airborne PD radar model with the characteristics of complex weather and varied height was built, which took atmospheric attenuation, multipath propagation and atmospheric refraction into account. These environmental factors were introduced to the detection model, which calculated the target detection probability and analyzed the measurement error of target's distance and angle. The target detection probability was affected by the atmospheric attenuation and multipath propagation. Combined with the impact of atmospheric attenuation and multipath propagation on detection probability, the formula of detection probability was acquired. The measurement error was caused by multipath propagation and atmospheric refraction. Measurement error was analyzed, and then the corresponding measures were taken to reduce the error. The target detection model in the complex and changeable environment was built. The experimental results show that environmental influence on the detection probability and measurement errors is reasonably considered, and then prove the validity of the proposed model.
出处 《系统仿真学报》 CAS CSCD 北大核心 2013年第12期2833-2839,2871,共8页 Journal of System Simulation
基金 北京市科技计划项目(Z111100074811001)
关键词 衰减 多径效应 折射 雷达 attenuation multipath propagation refraction radar
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  • 1刘向阳,许稼,彭应宁.极不均匀合成孔径雷达杂波建模及恒虚警检测[J].电子学报,2007,35(9):1617-1621. 被引量:7
  • 2李华,汤俊,彭应宁.空天混合双基地雷达杂波建模[J].清华大学学报(自然科学版),2007,47(10):1606-1609. 被引量:3
  • 3CHEN X, THARMARASA R, KIRUBARAJAN T, et al. Integrated clutter estimation and target tracking using Pois- son point processers [ J ]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(2) : 1210-1235. 被引量:1
  • 4SANGSTON K J, GINI F, GRECO M S. Coherent radar tar- get detection in heavy-tailed compound-Gaussian clutter[ J ]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(48) : 64-77. 被引量:1
  • 5RAGHAVAN R S. Statistical interpretation of a data adap- tive clutter subspace estimation algorithm [ J ]. IEEE Trans- actions on Aerospace and Electronic Systems, 2012, 48 (2) :1370-1384. 被引量:1
  • 6CHEN Y, NASRABADI N M, TRAN T D. Simultaneous joint sparsity model for target detection in hyperspectral im- agery[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4): 676-680. 被引量:1
  • 7CHEN X L, CHAI Y, CAI F Q, et al. Application of the sparse decomposition to micromotion target detection em- bedded in sea clutter [ C ]//2013 International Conference on Radar. Adelaide, Australia: IEEE Press, 2013:163- 166. 被引量:1
  • 8TANG V H, BOUZERDOUM A, PHUNG S L, et al. En- hanced wall clutter mitigation for compressed through-the- wall radar imaging using joint bayesian sparse signal recov- ery[ C]//2014 IEEE International Conference on Acous- tic, Speech and Signal Processing. Florence: IEEE Press, 2014: 7804- 7808. 被引量:1
  • 9HURTADO M, ELLENRIEDER N, MURAVCHIK C, et al. Sparse modeling for polarimetric radar [ C]// 2011 IEEE Statistical Signal Processing Workshop. Nice: IEEE Press, 2011 : 17-20. 被引量:1
  • 10LU W Z, BAI C, KPALMA K, et al. Multi-object tracking using sparse representation[ C ]//2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC: IEEE Press, 2013:2312-2316. 被引量:1

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