基于空时约束的自适应迭代单脉冲估计方法

doi:10.12305/j.issn.1001-506X.2022.08.15

Abstract

Abstract:

In the process of airborne radar parameters estimation, the adaptive sum and the difference beam can be distorted near the main lobe clutter region, and there is a coupling between the angle and Doppler frequency parameter estimated, which leads to severe degradation of the parameters estimation performance of the traditional sum and difference pulse estimation method. This paper proposes an adaptive iterative monopulse estimation method for airborne radar based on space-time constraints. This method firstly uses derivative constraints and zero point constraints to ensure that the formed difference beam is the optimal difference beam. Secondly, the generalized single pulse method is used to estimate the parameters, which solves the mutual coupling problem between multi-parameter estimation. Finally, it adopts an adaptive iterative method, which further improves the estimation accuracy of target parameters. The computer simulation results verify the effectiveness of the proposed method.

Key words: airborne radar, parameter estimation, generalized monopulse, space-time constraint, adaptive

CLC Number:

TN957

Yuanyi XIONG, Wenchong XIE. Adaptive iterative monopulse estimation method based on space-time constraint[J]. Systems Engineering and Electronics, 2022, 44(8): 2506-2514.

Figures/Tables 13

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References 30

1	LIU W J , LIU J , HAO C P , et al. Multichannel adaptive signal detection: basic theory and literature review[J]. Science China: Information Sciences, 2021, doi: 10.1007/s11432-020-3211-8
2	CHEN G , WANG J . Target detection method in passive bistatic radar[J]. Journal of Systems Engineering and Electronics, 2020, 31 (3): 510- 519. doi: 10.23919/JSEE.2020.000021
3	ZEFREH R G , TABAN M R , NAGHSH M M , et al. Robust CFAR detector based on censored harmonic averaging in heterogeneous clutter[J]. IEEE Trans.on Aerospace and Electronic Systems, 2021, 57 (3): 1956- 1963. doi: 10.1109/TAES.2020.3046050
4	GE B B, CHEN L P, AN D X, et al. Parameter estimation of moving target in dual-channel circular synthetic aperture radar[C]// Proc. of the IEEE Asia-Pacific Microwave Conference, 2019, 1381-1383.
5	MONTLOUIS W. Rapidly moving target parameter estimation using phased array radars[C]//Proc. of the International Conference on Telecommunications and Signal Processing, 2020: 523-527.
6	XU H, PENG Y N, WAN Q, et al. Doppler parameter estimation of airborne radar based on a novel clutter model[C]//Proc. of the IEEE Radar Conference, 2004: 329-332.
7	LI Y K , WANG Y L , LIU B C , et al. A new motion parameter estimation and relocation scheme for airborne three-channel CSSAR-GMTI systems[J]. IEEE Trans.on Geoscience and Remote sensing, 2019, 57 (6): 4107- 4120. doi: 10.1109/TGRS.2019.2894620
8	ZHANG X W , LIAO G S , YANG Z W , et al. Parameter estimation based on Hough transform for airborne radar with conformal array[J]. Digital Signal Processing, 2020, doi: 10.1016/j.dsp.2020.102869
9	SKOLNIK M I . Radar handbook[M]. 2nd ed New York: McGraw-Hill, 1990.
10	SHERMAN S M . Monopulse principles and techniques[M]. Dedham Ma: Artech House, 1984.
11	LEONOV A I, FOMICHEV K I. Monopulse radar[R]. NASA Technical Report A, 1986.
12	NICKEL U . Performance of corrected adaptive monopulse estimation[J]. IEE Proceedings-Radar, Sonar and Navigation, 1999, 146 (1): 17- 24. doi: 10.1049/ip-rsn:19990257
13	NICKEL U , CHAUMETTE E , LARZABAL P . Estimation of extended target using the generalized monopulse estimator: extension to a mixed target model[J]. IEEE Trans.on Aerospace and Electronic Systems, 2013, 49 (3): 2084- 2096. doi: 10.1109/TAES.2013.6558043
14	WU R B , SU Z G , WANG L . Space-time adaptive monopulse processing for airborne radar in non-homogeneous environments[J]. AEU International Journal of Electronics and Communications, 2011, 65 (5): 258- 264.
15	NICKEL U , CHAUMETTE E , LARZABAL P . Statistical performance prediction of generalized monopulse estimation[J]. IEEE Trans.on Aerospace and Electronic Systems, 2011, 47 (1): 381- 404. doi: 10.1109/TAES.2011.5705682
16	WARD J. Cramér-Rao bounds for target angle and Doppler estimation with space-time adaptive radar[C]//Proc. of the IEEE Conference on Signals, Systems & Computers, 1995: 1198-1203.
17	DOGANDZIC A , NEHORAI A . Cramer-Rao bounds for estimating range, velocity, and direction with an active array[J]. IEEE Trans.on Signal Processing, 2001, 49 (6): 1122- 1137. doi: 10.1109/78.923295
18	STOICA P , LARSSON E G , GERSHMAN A B . The stochastic CRB for array processing: a textbook derivation[J]. IEEE Signal Processing Letters, 2001, 8 (5): 148- 150. doi: 10.1109/97.917699
19	NICKEL U . Overview of generalized monopulse estimation[J]. IEEE Aerospace and Electronic Systems Magazine, 2006, 21 (6): 27- 56. doi: 10.1109/MAES.2006.1662039
20	FANTE R . Synthesis of adaptive monopulse patterns[J]. IEEE Trans.on Antennas and Propagation, 1999, 35 (5): 773- 774.
21	陈功, 谢文冲, 王永良. 基于空时联合约束的机载雷达STAP单脉冲角度估计方法[J]. 电子学报, 2015, 43 (3): 489- 495. doi: 10.3969/j.issn.0372-2112.2015.03.011
	CHEN G , XIE W C , WANG Y L , et al. Space-time adaptive monopulse angle estimation approach for airborne radar based on space-time joint constraint[J]. Acta Electronica Sinica, 2015, 43 (3): 489- 495. doi: 10.3969/j.issn.0372-2112.2015.03.011
22	李永伟, 谢文冲. 端射阵机载雷达STAP单脉冲测角方法[J]. 系统工程与电子技术, 2020, 42 (2): 322- 330.
	LI Y W , XIE W C . Monopulse angle estimation method for end-fire array airborne radar based on STAP[J]. Systems Engineering and Electronics, 2020, 42 (2): 322- 330.
23	XU J W , WANG C H , LIAO G S , et al. Sum and difference beamforming for angle Doppler estimation with STAP-based radars[J]. IEEE Trans.on Aerospace and Electronic Systems, 2016, 52 (6): 2825- 2837. doi: 10.1109/TAES.2016.150728
24	RANGASWAMY M. An overview of space-time adaptive processing for radar[C]//Proc. of the IEEE International Conference on Radar, 2003: 45-50.
25	MELVIN W L . A STAP overview[J]. IEEE Aerospace and Electronics Systems Magazine, 2004, 19 (1): 19- 35. doi: 10.1109/MAES.2004.1263229
26	LAPIERRE F D , VERLY J G . Framework and taxonomy for radar space-time adaptive processing (STAP) methods[J]. IEEE Trans.on Aerospace and Electronic Systems, 2007, 43 (3): 1084- 1099. doi: 10.1109/TAES.2007.4383596
27	LI X Z , XIE W C , WANG Y L . Clutter suppression algorithm for non-side looking airborne radar with high pulse repetition frequency based on elevation-compensation-prefiltering[J]. IET Radar, Sonar & Navigation, 2020, 14 (8): 19- 26.
28	谢文冲, 段克清, 王永良. 机载雷达空时自适应处理技术研究综述[J]. 雷达学报, 2017, 6 (6): 575- 586.
	XIE W C , DUAN K Q , WANG Y L . Space time adaptive processing technique for airborne radar: an overview of its development and prospects[J]. Journal of Radars, 2017, 6 (6): 575- 586.
29	伍勇, 汤俊, 彭应宁. 雷达系统杂波自由度研究[J]. 电子与信息学报, 2008, 30 (5): 1032- 1036.
	WU Y , TANG J , PENG Y N . On clutter degrees of freedom of the radar system[J]. Journal of Electronics & Information Technology, 2008, 30 (5): 1032- 1036.
30	NICKEL U . Monopulse estimation with subarray-adaptive arrays and arbitrary sum and difference beams[J]. IET Radar, Sonar & Navigation, 1996, 143 (4): 232- 238.

参数名称	符号	数值
载机高度/km	H	8
载机速度/(m·s^-1)	V	140
阵元数	N	16×16
脉冲数	K	16
脉冲重复频率/Hz	f_r	2 434.8
接收机带宽/MHz	B	5
脉冲宽度/μs	τ	15
波长/m	λ	0.23
主波束方位角/(°)	θ₀	90
归一化多普勒频率	f_d	0

目标	方位角/(°)	归一化多普勒频率
目标1	88.438	0.014
目标2	88.438	0.030
目标3	88.438	0.046
目标4	90.000	0.014
目标5	90.000	0.030
目标6	90.000	0.046
目标7	91.563	0.014
目标8	91.563	0.030
目标9	91.563	0.046

方法	峰值副瓣电平	平均副瓣电平
噪声背景	-34.470	-36.618
Fante方法	-6.010	-9.718
Nickel方法	-19.150	-24.162
Xu方法	-8.210	-12.058
本文方法	-8.200	-12.056

方法	峰值副瓣电平	平均副瓣电平
噪声背景	-34.470	-37.053
Fante方法	-6.750	-10.148
Nickel方法	-22.120	-26.182
Xu方法	-7.170	-11.568
本文方法	-7.150	-11.546

目标	噪声背景	Fante方法	Nickel方法	Xu方法	本文方法
目标1	0.105	18.713	3.147	1.515	2.530
目标2	0.100	2.035	0.342	0.814	0.012
目标3	0.105	0.917	0.154	0.545	0.108
目标4	0.101	2.406	0.405	0.795	0.101
目标5	0.096	0.937	0.158	0.807	0.125
目标6	0.101	0.582	0.098	0.971	0.079
目标7	0.105	1.082	0.182	0.515	0.138
目标8	0.100	0.608	0.102	0.911	0.082
目标9	0.105	0.446	0.075	1.512	0.060

Adaptive iterative monopulse estimation method based on space-time constraint

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目标	噪声背景	Fante方法	Nickel方法	Xu方法	本文方法
目标1	9.186×10^-4	0.140	0.179	0.013	0.022
目标2	8.707×10^-4	0.015	0.020	0.007	1.030×10^-4
目标3	9.186×10^-4	0.007	0.009	0.005	9.418×10^-4
目标4	8.819×10^-4	0.018	0.023	0.007	8.802×10^-4
目标5	8.359×10^-4	0.007	0.009	0.007	0.001
目标6	8.819×10^-4	0.004	0.006	0.008	6.861×10^-4
目标7	9.186×10^-4	0.008	0.010	0.005	0.001
目标8	8.707×10^-4	0.005	0.006	0.008	7.175×10^-4
目标9	9.186×10^-4	0.003	0.004	0.013	5.263×10^-4