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Feature Extraction of Moving Target for Short-range PRC-CW Radar


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Feature Extraction of Moving Target for Short-range PRC-CW Radar
ZHAO ZhaoWANG Zhi-huaSHI Xiang-quan
School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China
pseudo random code pulse compression feature extraction Mellin transform
A multi-component echo signal model of short-range pseudo random code continuous wave(PRC-CW) radar is presented based on target’s multi-points scattering model.An idea to take the moving target’s fine frequency structure as its feature is proposed based on the model presented above.The feature extraction method is illustrated,in which the fine frequency structure around the target’s main Doppler component is obtained by frequency zoom approach on the echo after conventional pulse compression-fast Fourier transform processing.Mellin transform of the frequency structure is calculated to implement the scale invariance property.The theoretical formula and implementation process are elaborated.Experimental results of practical targets indicate that the fine frequency structures of different targets vary obviously which reflect different targets’ structure features.


[1] ?? 张志勇, 曹治国, 张天序. X波段伪码调相连续波雷 达地杂波分布特性仿真与分析[ J]. 电子学报, 1999, 27( 3): 70- 73.
[2] 孔祥维, 黄申, 李国平. 基于小波和神经网络的二 相码旁瓣抑制的研究[ J]. 系统工程与电子技术, 2001, 23( 6): 1- 3.
[3] 朱志宇, 王建华. RBF神经网络在二相编码雷达脉 冲压缩中的应用[ J]. 现代雷达, 2005, 27( 3): 47 - 49.
[4] 孙东延, 陶建锋, 付全喜. 相位编码信号的多普勒 补偿[ J] . 空军工程大学学报( 自然科学版), 2000, 1( 1) : 47- 49.
[5] ?? Cheng Y P, Bao Z, L in Z P. Dopp ler compensa tion for bina ry phase??coded wavefo rm s[ J] . IEEE Transac?? tions on Aerospace and E lectron ic System s, 2002, 38( 3): 1 068- 1 072.
[6] 熊张亮, 张永胜, 是湘全, 等. 一种大多普勒容限的 伪码调相连续波雷达[ J]. 南京理工大学学报(自 然科学版), 2005, 29( 5): 514- 517.
[7] 黄培康, 殷红成, 许小剑. 雷达目标特性[M ]. 北 京: 电子工业出版社, 2005. 230- 237.
[8] Be llM R, Grubbs R A. JEM modeling and m easure?? m en t fo r radar targe t identifica tion[ J] . IEEE Transac?? tions on Aerospace and E lectron ic System s, 1993, 29( 1): 73- 87.
[9] Zw icke P E, K iss J I. A new implem entation o f the M e llin transform and its application to radar recogn ition o f sh ips[ J]. IEEE Transactions on Pattern Ana lys is andM achine Intelligence, 1994, 16( 12): 245- 251.
[10] Rab iner L R, SchaferR W, Rada rCM. The ch irp Z?? transform algo rithm [ J]. IEEE Transactions on Aud io and E lec troacoustics, 1969, 17( 2): 85- 92.
[11] H oyer E A, S tork R F. The zoom FFT us ing com plex m odu lation [ A ]. ICASSP?? 77 [ C ]. H artford, USA: IEEE, 1977. 78- 81.
[12] Y ip P C. Som e aspects of the zoom transform [ J]. IEEE T ransactions on Compu ters, 1976, 25( 3) : 287 - 296.
[13] Ca rterT, Pe rgandeA, De lisioM. Zoom FFT form illi?? m e terw ave add itive no ise m easurem en t[ A ]. Con fe r?? ence D igest o f the 2004 Jo int 29 th Int Conf on In fra red andM illim eterW aves and 12th Int Conf on Terahertz E lectron ics[ C ]. Kar lsruhe, Germ any: IEEE, 2004. 335- 336.
[14] 邵枝晖, 王海斌, 吴立新, 等. 基于ZoomFFT的反多 普勒频移算法在水声通信中的应用[ J] . 声学学 报, 2005, 30( 5) : 420- 426.
[15] InggsM R, Rob inson A D. Sh ip targe t recogn ition u?? sing low reso lution radar and neural netw orks [ J ]. IEEE T ransactions on Aerospace and E lec tron ic Sys?? tem s, 1999, 35( 2): 386- 393.


Last Update: 2008-12-30