基于快速迭代插值的FMCW雷达距离估计算法

doi:10.11959/j.issn.1000-436x.2019187

通信学报 ›› 2019, Vol. 40 ›› Issue (9): 175-183.doi: 10.11959/j.issn.1000-436x.2019187

基于快速迭代插值的FMCW雷达距离估计算法

段永昌¹,李欣²(),黄耀辉³,黄平³

¹ 中国舰船研究设计中心，湖北武汉 430064
² 哈尔滨工程大学工程训练中心，黑龙江哈尔滨 150001
³ 哈尔滨工程大学自动化学院，黑龙江哈尔滨 150001

修回日期:2019-05-23 出版日期:2019-09-25 发布日期:2019-09-28
作者简介:段永昌（1993- ），男，安徽宿州人，中国舰船研究设计中心工程师，主要研究方向为毫米波雷达信号处理和硬件实现。|李欣（1981- ），女，黑龙江哈尔滨人，博士，哈尔滨工程大学讲师，主要研究方向为雷达阵列信号处理。|黄耀辉（1995- ），男，湖北武汉人，哈尔滨工程大学硕士生，主要研究方向为毫米波雷达信号处理和毫米波雷达成像。|黄平（1980- ），男，江西宁都人，博士，哈尔滨工程大学副教授，主要研究方向为导航、制导与控制。
基金资助:
国家自然科学基金资助项目(61571148);国家自然科学基金资助项目(61871143);中央高校基本科研业务费专项资金资助项目(HEUCFG201823);中央高校基本科研业务费专项资金资助项目(3072019CF0402);黑龙江省自然科学基金资助项目(LH2019F006);哈尔滨市应用技术研究与开发基金资助项目(2017RAQXJ095)

FMCW radar range estimation algorithm based on fast iterative interpolation

Yongchang DUAN¹,Xin LI²(),Yaohui HUANG³,Ping HUANG³

¹ China Ship Development and Design Center,Wuhan 430064,China
² Engineer Training Center,Harbin Engineering University,Harbin 150001,China
³ College of Automation,Harbin Engineering University,Harbin 150001,China

Revised:2019-05-23 Online:2019-09-25 Published:2019-09-28
Supported by:
The National Natural Science Foundation of China(61571148);The National Natural Science Foundation of China(61871143);The Fundamental Research Funds for the Central Universities(HEUCFG201823);The Fundamental Research Funds for the Central Universities(3072019CF0402);The Natural Science Foundation of Heilongjiang Province(LH2019F006);Research and Development Project of Application Technology in Harbin(2017RAQXJ095)

摘要/Abstract

摘要：

针对多目标环境中车载防撞雷达的测距精度易受到频谱间干扰的问题，提出了一种改进的基于迭代插值的多目标距离估计算法。首先，利用快速傅里叶变换并结合恒虚警检测算法估计出不同距离的目标个数及目标的粗略位置；然后，对目标的频谱进行非均匀迭代插值，并在每次迭代的过程中消除频谱间干扰，从而得到更精确的距离。仿真实验表明，所提算法在多目标环境中和低信噪比条件下均具有更高的估计精度。使用DSP芯片实现了所提算法，证明该算法满足实时性的要求，易于工程实现。

关键词: 调频连续波雷达, 快速傅里叶变换, 距离估计, 频谱干扰

Abstract:

For the multi-target detection,a multi-objective range estimation algorithm was proposed based on iterative interpolation to solve the problem of the range accuracy of frequency modulation continuous wave (FMCW) radar being easy to be interfered by spectrum.Firstly,the number of targets and the rough location of the target were obtained through the fast Fourier transform (FFT) and the constant false alarm (CFAR) detection algorithm.Then spectrum was iteratively interpolate,and the inter-spectral interference was eliminated during each iteration to obtain more accurate distance.Simulation results show that the proposed algorithm has higher estimation accuracy in multi-target environment and low Signal-to-noise ratio(SNR).The proposed algorithm is implemented by DSP,which proved that the algorithm meets the real-time requirements and is easy to be implemented in engineering.

Key words: FMCW radar, FFT, range estimation, spectrum interference

中图分类号:

TN958.94

段永昌,李欣,黄耀辉,黄平. 基于快速迭代插值的FMCW雷达距离估计算法[J]. 通信学报, 2019, 40(9): 175-183.

Yongchang DUAN,Xin LI,Yaohui HUANG,Ping HUANG. FMCW radar range estimation algorithm based on fast iterative interpolation[J]. Journal on Communications, 2019, 40(9): 175-183.

图/表 17

图1

表1

图2

图3

图4

表2

图5

图6

图7

表3

图8

表4

表5

表6

图9

图10

图11

参考文献 18

[1]	ENGELS F , HEIDENREICH P , ZOUBIR A M ,et al. Advances in automotive radar:a framework on computationally efficient high-resolution frequency estimation[J]. IEEE Signal Processing Magazine, 2017,34(2): 36-46.
[2]	LI C , LUBECKE V M , BORIC-LUBECKE O ,et al. A review on recent advances in doppler radar sensors for noncontact healthcare monitoring[J]. IEEE Transactions on Microwave Theory ＆ Techniques, 2013,61(5): 2046-2060.
[3]	吕新荣, 李有明, 余明宸 . OFDM系统的信道与脉冲噪声的联合估计方法[J]. 通信学报, 2018,39(3): 191-198.
	LYU X R , LI Y M , YU M C . Joint channel and impulsive noise estimation method for OFDM systems[J]. Journal on Communication, 2018,39(3): 191-198.
[4]	朱恺, 秦轶炜, 许建中 ,等. 四种提高FMCW测距精度的方案及性能分析[J]. 无线电工程, 2015(1): 20-25.
	ZHU K , QIN Y W , XU J Z ,et al. Performance analysis of four schemes improving ranging precision of FMCW radar[J]. Radio Engineering, 2015(1): 20-25.
[5]	刘珍, 朱莉, 孙峰 . 提高LFMCW雷达测距精度的改进型ZFFT算法[J]. 微波学报, 2015(S2): 250-253.
	LIU Z , ZHU L , SUN F . The improved ZFFT algorithm for improving the LFMCW radar ranging accuracy[J]. Journal of Microwaves, 2015(S2): 250-253.
[6]	WANG C , LIU H , HAN G ,et al. Automotive FMCW radar-enhanced range estimation via a local resampling Fourier transform[J]. International Journal of Advanced Robotic Systems, 2016,13(1):1.
[7]	ABOUTANIOS E , MULGREW B . Iterative frequency estimation by interpolation on Fourier coefficients[J]. IEEE Transactions on Signal Processing, 2005,53(4): 1237-1242.
[8]	JACOBSEN E , KOOTSOOKOS P . Fast,accurate frequency estimators[J]. IEEE Signal Processing Magazine, 2007,24: 123-125.
[9]	CANDAN ? A . A method for fine resolution frequency estimation from three DFT samples[J]. IEEE Signal Processing Letters, 2011,18(6): 351-354.
[10]	崔维嘉, 鲁航, 巴斌 . 基于细化频谱的频率迭代插值估计算法[J]. 电子与信息学报, 2017,39(9): 2141-2147.
	CUI W J , LU H , BA B . Iterative frequency estimation algorithm based on interpolated zoom spectrum[J]. Journal of Electronics ＆ Information Technology, 2017,39(9): 2141-2147.
[11]	DUDA K . DFT interpolation algorithm for Kaiser-Bessel and Dolph-Chebyshev windows[J]. IEEE Transactions on Instrumentation＆ Measurement, 2011,60(3): 784-790.
[12]	CANDAN ? A . Fine resolution frequency estimation from three DFT samples:case of windowed data[J]. Signal Processing, 2015,114: 245-250.
[13]	ABOUTANIOS E , HASSANIEN A , AMIN M G ,et al. Fast iterative interpolated beamforming for high fidelity single snapshot DOA estimation[C]// IEEE Radar Conference. IEEE, 2016: 1-6.
[14]	ABOUTANIOS E , HASSANIEN A , AMIN M G ,et al. Fast iterative interpolated beamforming for accurate single-snapshot DOA estimation[J]. IEEE Geoscience and Remote Sensing Letters, 2017,14(4): 574-578.
[15]	HASCH J , TOPAK E , SCHNABEL R ,et al. Millimeter-wave technology for automotive radar sensors in the 77 GHz frequency band[J]. IEEE Transactions on Microwave Theory ＆ Techniques, 2012,60(3): 845-860.
[16]	VARAVIN A V , ERMAK G P , VASILEV A S ,et al. The signal digital processing in the millimeter band FMCW radar[C]// Workshop on International Kharkov Symposium on Physics ＆ Engineering of Microwaves. IEEE, 2007.
[17]	ORGUNER U , CANDAN ? A . A fine-resolution frequency estimator using an arbitrary number of DFT coefficients[J]. Signal Processing, 2014,105(12): 17-21.
[18]	何友 . 雷达目标检测与恒虚警处理[M]. 北京: 清华大学出版社, 2011.
	HE Y . Radar target detection and constant false alarm processing[M]. Beijing: Tsinghua University Press Press, 2011.

系统参数	符号及单位	数值
中心频率	f_center/GHz	24.125
带宽	B/MHz	250
周期	T/ms	6
采样率	f_s/kHz	95
FFT点数	N	512

目标编号	信号强度	R_real	R_est	真实频率/Hz
1	1.00	5.12	5.10	2 783.2+48.25
2	0.82	14.55	14.54	8 164.06-88.16
3	0.63	21.33	21.32	11 875-29.39
4	0.90	30.05	30.02	16 699.22-20.16
5	0.75	40.56	40.50	22 451.17+49.35
6	0.80	65.14	65.11	36 181.64-8.18
7	0.41	65.63	65.62	36 552.73-96.44
8	0.32	66.38	66.37	36 923.83-50.64
9	0.50	85.04	85.04	47 314.45-72.72
10	0.80	98.90	98.86	54 921.88-13.83

算法	时间复杂度	仿真时间/s
本文算法	N lbN+QN	0.002 0
Hamming-window	NlbN+N²	0.003 4
Zoom-FFT	N lbN+DN	0.002 4

目标编号	R_real	R_est	真实频率/Hz
1	3.28	3.07	1 855.6-150
2	4.16	4.34	2 227.8+127.78
3	5.02	5.21	2 816.6+111.12
4	6.45	6.48	3 533.3+72.22
5	7.58	7.35	4 183.3-94.54
6	8.69	8.68	4 738.9+5.45

目标编号	R_real	R_est	真实频率/Hz
1	3.28	3.31	1 852.6-16.67
2	4.16	4.18	2 227.8+94.44
3	5.02	5.07	2 816.6+33.31
4	6.45	6.40	3 533.3+27.78
5	7.58	7.60	4 183.3-44.46
6	8.69	8.76	4 738.9+16.78

基于快速迭代插值的FMCW雷达距离估计算法

FMCW radar range estimation algorithm based on fast iterative interpolation

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 17

参考文献 18

相关文章 2

Metrics

推荐阅读 0

[1]	孙贺麟, 高洪元, 杜亚男, 程建华, 刘亚鹏. 频控阵MIMO雷达的目标数与方位参数联合估计方法[J]. 通信学报, 2023, 44(2): 41-51.
[2]	王竹. 不使用W码情况下捕获Y码的相关算法及其快速实现[J]. 通信学报, 2017, 38(Z1): 97-103.