基于运动参数非搜索高速机动目标检测

章建成; 苏涛; 吕倩

doi:10.11999/JEIT151042

基于运动参数非搜索高速机动目标检测

doi: 10.11999/JEIT151042

基金项目:

国家自然科学基金(61001204)，中央高校基本科研业务费专向资金(JY0000902020)

计量
- 文章访问数: 1410
- HTML全文浏览量: 127
- PDF下载量: 498
- 被引次数: 0
出版历程
- 收稿日期: 2015-09-14
- 修回日期: 2016-01-22
- 刊出日期: 2016-06-19

High-speed Maneuvering Target Detection Based on Non-searching Estimation of Motion Parameters

Funds:

The National Natural Science Foundation of China (61001204), Fundamental Research Funds for the Central Universities (JY0000902020)

摘要

摘要: 该文提出一种新的高速机动目标检测与参数估计算法。首先，通过二阶Keystone变换(KT)消除距离频率与慢时间的二次耦合，并计算对称瞬时自相关函数(SIAF)。其次，对SIAF不同维依次进行尺度逆傅里叶变换(SIFT)、尺度傅里叶变换(SFT)和快速傅里叶变换(FFT)实现能量积累，在新的参数空间进行峰值检测得到径向速度模糊数和径向加速度估计值。最后，根据估计的参数构造补偿函数对距离徙动和多普勒扩散进行补偿，并通过KT算法实现目标检测和距离、模糊径向速度的估计，结合补偿的径向速度模糊数计算出不模糊径向速度。由于不需要进行参数搜索，并且SIFT和SFT均能通过FFT快速实现，因此算法计算量得到大幅度减小。仿真实验验证了该算法的有效性。
- 目标检测 /
- 参数估计 /
- 尺度变换 /
- 对称瞬时自相关函数
Abstract: A novel algorithm for high-speed maneuvering target detection and parameter estimation is proposed. Firstly, the second-order Keystone Transform (KT) is utilized to remove the quadric coupling between the range frequency and the slow time, after that, the Symmetric Instantaneous Autocorrelation Function (SIAF) is calculated. Secondly, in order to achieve energy accumulation, Scaled Inverse Fourier Transform (SIFT), Scaled FT (SFT), and Fast FT (FFT) are successively performed on the different dimensions of the SIAF to obtain a new parameter space, then peak detection is carried out to achieve the estimation of radial velocity ambiguity integer and radial acceleration. Finally, a compensation function is constructed to compensate the range migration and the Doppler spread, then the KT algorithm is employed to realize target detection and the estimation of targets range and ambiguous radial velocity, with the radial velocity ambiguity integer and ambiguous radial velocity, the unambiguous radial velocity can be calculated. Since the brute-force searching procedure is eliminated, moreover, the SIFT and the SFT can be implemented with the FFT operation, the computational complexity of proposed algorithm is greatly reduced. The simulation results demonstrate the effectiveness of the proposed algorithm.
- Target detection /
- Parameter estimation /
- Scaled transform /
- Symmetric Instantaneous Autocorrelation Function (SIAF)

HTML全文

参考文献(19)

XING Mengdao, SU Junhai, WANG Genyuan, et al. New parameter estimation and detection algorithm for high speed small target[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(1): 214-224. doi: 10.1109/TAES. 2011.5705671.

ZHU Shengqi, LIAO Guisheng, YANG Dong, et al. A new method for radar high-speed maneuvering weak target detection and imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(7): 1175-1179. doi: 10.1109/LGRS. 2013.2283887.

问翔, 刘宏伟, 包敏. 一种距离扩展目标的Hough变换检测器[J]. 电子与信息学报, 2015, 37(5): 1104-1110. doi: 10.11999/ JEIT14069.

WEN Xiang, LIU Hongwei, and BAO Min. A Hough transformation detector for range spread target[J]. Journal of Electronics Information Technology, 2015, 37(5): 1104-1110. doi: 10.11999/JEIT140692.

田超, 文树梁. 基于非均匀FFT的长时间相参积累算法[J]. 电子与信息学报, 2014, 36(6): 1374-1380. doi: 10.3724/SP.J. 1146.2013.01264.

TIAN Chao and WEN Shuliang. A long-term coherent integration algorithm based on non-uniform fast Fourier transform[J]. Journal of Electronics Information Technology, 2014, 36(6): 1374-1380. doi: 10.3724/SP.J.1146. 2013.01264.

HUANG Penghui, LIAO Guisheng, YANG Zhiwei, et al. Approach for space-based radar maneuvering target detection and high-order motion parameter estimation[J]. IET Radar, Sonar Navigation, 2015, 9(6): 732-741. doi: 10. 1049/iet-rsn.2014.0192.

郑纪彬, 朱文涛, 苏涛, 等. 一种新的高速多目标快速参数化检测算法[J]. 电子与信息学报, 2013, 35(2): 381-387. doi: 10. 3724/SP.J.1146.2012.00843.

ZHENG Jibin, ZHU Wentao, SU Tao, et al. Novel algorithm for fast parametric detection of high-speed multi-target[J]. Journal of Electronics Information Technology, 2013, 35(2): 381-387. doi: 10.3724/SP.J.1146.2012.00843.

XU Jia, Yu Ji, PENG Yingning, et al. Radon-Fourier transform for radar target detection I: generalized Doppler filter bank[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(2): 1186-1202. doi: 10.1109/TAES.2011. 5751251.

CHENG Xiaolong, GUAN Jian, LIU Ningbo, et al. Maneuvering target detection via radon-fractional Fourier transform-based long-time coherent integration[J]. IEEE Transactions on Signal Processing, 2014, 62(8): 939-953. doi: 10.1109/TSP.2013.2297682.

LI Xiaolong, CUI Guolong, YI Wei, et al. Coherent integration for maneuvering target detection based on radon-Lvs distribution[J]. IEEE Signal Processing Letters, 2015, 22(9): 1467-1471. doi: 10.1109/LSP.2015.2390777.

L Xiaolei, BI Guoan, WAN Chunru, et al. Lvs distribution: principle, implementation, properties, and performance[J] . IEEE Transactions on Signal Processing, 2011, 59(8): 939-953. doi: 10.1109/TSP.2011.2155651.

LUO Shan, BI Guoan, L Xiaolei, et al. Performance analysis on Lvs distribution and its applications[J]. Digital Signal Processing, 2013, 23(3): 797-807. doi: 10.1016/j.dsp.2012. 11.011.

ZHENG Jibin, SU Tao, ZHU Wentao, et al. Radar high-speed target detection based on the scaled inverse Fourier transform[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(3): 1108-1119. doi: 10.1109/JSTARS.2014.2368174.

吴兆平, 符渭波, 苏涛, 等. 基于快速Radon-Fourier变换的雷达高速目标检测[J]. 电子与信息学报, 2012, 34(8): 1866-1871. doi: 10.3724/SP.J.1146.2011.01180.

WU Zhaoping, FU Weibo, SU Tao, et al. High speed radar target detection based on fast radon-Fourier transform[J]. Journal of Electronics Information Technology, 2012, 34(8): 1866-1871. doi: 10.3724/SP.J.1146.2011.01180.

ZHENG Jibin, SU Tao, ZHANG Long, et al. ISAR imaging of targets with complex motion based on the chirp rate- quadratic chirp rate distribution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(11): 7276-7289. doi: 10.1109/TGRS.2014.2310474.

XING M, WU R, LI Y, et al. New ISAR imaging algorithm based on modified Wigner Ville distribution[J]. IET Radar, Sonar Navigation, 2009, 3(1): 70-80. doi: 10. 1049/iet-rsn. 20080003.

施引文献

资源附件(0)

访问统计