Maneuvering-Deceleration Guidance Algorithm Based on Atmosphere Estimation for Reentry Vehicle

doi:10.3969/j.issn.1000-1093.2013.09.019

Abstract

Abstract: Background noise and reverberation interference are the main interference sources in the sonar target detection. How to reduce their effects on sonar performance effectively has been a focus of underwater acoustic signal processing. According to Volterra series theory, a nonlinear dynamic model of underwater acoustic signal is established to realize the noise reduction of background noise and the suppression of reverberation interference by predicting the underwater acoustic signal. The direct and iterative methods are used for the one-step and multi-step predictions of the underwater acoustic signal, respectively, by using the two-order Volterra adaptive filter and the singular value decomposition adaptive algorithm. The simulation results show that the iterative method has higher prediction performance and effec- tive multi-step prediction capability.

Key words: acoustics, underwater acoustic signal, Volterra adaptive filter, multi-step prediction

CLC Number:

TB56

FANG Yuan-yuan, LI Ya-an, CUI Lin, SHANG Jin. Maneuvering-Deceleration Guidance Algorithm Based on Atmosphere Estimation for Reentry Vehicle[J]. Acta Armamentarii, 2013, 34(9): 1173-1179.

References

[1] 张家树, 肖先赐. 混沌时间序列的Volterra 自适应预测[J]. 物理学报, 2000, 49(3): 403 -408. ZHANG Jia-shu,XIAO Xian-ci. Predicting low-dimensional chaotic time series using volterra adaptive filters[J]. Acta Physica Sinina, 2000, 49(3): 403 -408. (in Chinese) [2] 孟庆芳, 张强, 牟文英. 混沌时间序列多步自适应预测方法[J]. 物理学报, 2006, 55(4): 1666 -1671. MENG Qing-fang,ZHANG Qiang,MU Wen-ying. A novel multi-step adaptive prediction method for chaotic time series[J]. Acta Physica Sinica, 2006, 55(4): 1666 -1671. (in Chinese) [3] 雷亚辉, 宋春云, 丁士圻. 基于Volterra 自适应滤波器的水中混响非线性预测[J]. 哈尔滨工程大学学报, 2007, 28(10):1127 -1130. LEI Ya-hui,SONG Chun-yun,DING Shi-qi. Nonlinear prediction of underwater reverberation based on a Volterra adaptive filter[J].Journal of Harbin Engineering University, 2007, 28(10): 1127 -1130. (in Chinese) [4] 蔡志明, 郑兆宁, 杨士莪. 水中混响的混沌属性分析[J]. 声学学报, 2002, 27(6): 497 -501. CAI Zhi-ming, ZHENG Zhao-ning, YANG Shi-e. Chaos characteristic analysis of underwater reverberation[J]. Acta Acustica,2002, 27(6): 497 -501. (in Chinese) [5] 陆振波. 时间序列混沌动力学分析及其在水声中的应用[D].武汉:海军工程大学,2008. LU Zhen-bo. Chaotic dynamics analysis of Time series and its applications in underwater acoustic signal processing[D]. Wuhan:Naval University of Engineering, 2008. (in Chinese) [6] Douglas S C, Meng H Y. Normalized data nonlinearities for LMS adaptation[J]. IEEE Trans on Signal Processing, 1994, 42(6):1352 -1365. [7] 陆振波,蔡志明,姜可宇. 基于Volterra 滤波器的混沌背景弱信号检测[J]. 系统仿真学报,2008,20(7):1778 -1780. LU Zhen-bo,CAI Zhi-ming,JIANG Ke-yu. Weak signal detection in chaos based on Volterra filter[J]. Jornal of System Simulation,2008,20(7):1778 -1780. (in Chinese)

[1]	WANG Ling, SHEN Xiaohong, KANG Yuzhu, HUA Fei, WANG Haiyan. Least Squares Estimation Performance for TDOA Target Localization in Underwater Acoustic Sensor Networks [J]. Acta Armamentarii, 2020, 41(3): 542-551.
[2]	MA Shilei, WANG Haiyan, SHEN Xiaohong, HE Ke, DONG Haitao. Detection Method of VLF Acoustic Signal in Complex Marine Environmental Noise [J]. Acta Armamentarii, 2020, 41(12): 2495-2503.
[3]	ZHAO Xinyi， ZHOU Kedong， HE Lei， LU Ye， LI Junsong. Wavelet Analysis and Numerical Simulation of Jet Noise induced by a Large Caliber Small Arms [J]. Acta Armamentarii, 2019, 40(11): 2195-2203.
[4]	LUO Yi， CHEN Xin. Acoustic Scattering Characteristics of Underwater Air-filled Cavity Corner Reflector [J]. Acta Armamentarii, 2019, 40(10): 2129-2135.
[5]	GAO Fei， SUN Lei. Localization of Moving Acoustic Source in Shallow Layer of Deep Ocean Based on the Time Difference of Arrival between theFirst and Second Waves [J]. Acta Armamentarii, 2018, 39(11): 2243-2248.
[6]	PAN Xi, TONG Ying， WANG Hua-yang. Acoustic Sources Localization Using Propagator Method in Spherical Harmonic Domain [J]. Acta Armamentarii, 2018, 39(10): 1936-1944.
[7]	GUO Tuo, WANG Ying-min, ZHANG Li-chen. Novel Target Direction-of-arrival Estimation Method for Underwater Small-scale Moving Array [J]. Acta Armamentarii, 2017, 38(9): 1779-1785.
[8]	BI Yang， WANG Ying-min，WANG Qi. Research on Dual Optimized Broadband Beamforming Algorithm [J]. Acta Armamentarii, 2017, 38(8): 1563-1571.
[9]	GAO Fei, PAN Chang-ming, SUN Lei. Geoacoustic Parameters Inversion of Bayes Matched-field: A Multi-annealing Gibbs Sampling Algorithm [J]. Acta Armamentarii, 2017, 38(7): 1385-1394.
[10]	YU Di-fei， ZHANG Chun-hua， HUANG Yong. Design of Fast Beam Forming of Improved Circular Planar Array [J]. Acta Armamentarii, 2017, 38(5): 959-967.
[11]	WANG Ya-dong, YANG Xiao-guang, ZHANG Ji-hua. Research on the Characteristics of Flow Noise Induced by Fish-like Flexible Deformation Motion [J]. Acta Armamentarii, 2017, 38(1): 123-128.
[12]	JIANG Wei-hua, TONG Feng, WANG Bin, LIU Shi-gang. Modulation Recognition Method of Non-cooperation Underwater Acoustic Communication Signals Using Principal ComponentAnalysis [J]. Acta Armamentarii, 2016, 37(9): 1670-1676.
[13]	JI Xia, CONG Wei-hua, DU Shuan-ping. Sonar Signal Processing Parallel Design Based on C6678 Multicore DSP [J]. Acta Armamentarii, 2016, 37(8): 1476-1481.
[14]	TAN Ke， ZOU Li-na. The Application of Normal Distribution Transformation Algorithm in Sonar Image Processing [J]. Acta Armamentarii, 2016, 37(6): 1052-1057.
[15]	YIN Jing-wei， LIU Qiang， CHEN Yang， ZHU Guang-ping， SHENG Xue-li. Research on Bionic Active Sonar Covert Detection Technology Based on Dolphin Whistle Signal [J]. Acta Armamentarii, 2016, 37(5): 769-777.