A High Resolution DOA Method Based on Synthetic Virtual Array for Pulse Doppler Fuze

doi:10.12382/bgxb.2022.0433

Abstract

Abstract:

A DOA method based on synthetic virtual array is proposed to achieve a high direction-of-arrival(DOA) resolution forpulse Doppler(PD) fuze. Taking advantage of the motion characteristics of PD fuze, a largervirtual aperture array can be formed by combining the target echoes data at different moments. In order to solve the problem of high computational complexity caused by the non-uniformity of synthetic virtual array, the synthetic virtual array is decomposed into original subarray and moving subarray. After DBF processing, the wave beams of two subarrays is used to replace the wave beam the synthetic virtual array, which not only obtains the high angle resolution, but also reduces the complexity of direct DBF operation of synthetic virtual array. The simulated and experimental results show that the proposed method can be used to improvethe DOA resolution of PD fuze under the condition of fewer array elements.

Key words: pulse Doppler fuze, direction of arrival, synthetic array, array decomposition, digital beam forming

CLC Number:

TJ301

WANG Xinwei, YAN Xiaopeng, HAO Xinhong, CHEN Qile, HUANG Dingkun. A High Resolution DOA Method Based on Synthetic Virtual Array for Pulse Doppler Fuze[J]. Acta Armamentarii, 2024, 45(1): 97-104.

Figures/Tables 15

Fig.1 Antenna of PD fuze

Fig.2 Schematic diagram of synthetic virtual array

Fig.3 Schematic diagram of simulation scene

Table 1 Simulation parameters

参数	数值
载频f₀/GHz	10
脉冲重频f_m/kHz	100
带宽ΔF/MHz	5
引信速度/(m·s^-1)	500
信噪比/dB	0~10
阵元间隔d	λ/2
接收阵列阵元数	14

Fig.4 Wave beam of synthetic array for SNR=10dB

Fig.5 Estimated result of DOA based on array decomposition

Table 2 DOA estimation of two DBF methods under the multiple targets

目标	基于阵列分解的DBF 角度估计结果/(°)	合成阵列直接DBF 角度估计结果/(°)
目标1	29.70	29.69
目标2	32.22	32.27
目标3	39.63	39.51
目标4	42.18	42.51

Fig.6 Wave beams got from array decomposition under different SNRs

Table 3 DOA estimated results of two DBF methods under different SNRs

信噪比/ dB	目标	基于阵列分解的DBF 角度估计结果/(°)	合成阵列直接DBF 角度估计结果/(°)
5	目标1	29.62	29.71
	目标2	32.27	32.41
0	目标1	29.63	29.67
	目标2	32.31	32.37

Fig.7 Complexity of two methods

Fig.8 Calculation amount of two methods

Fig.9 DOA estimated results pf MUSIC algorithm and array decomposition-based DBF algorithm

Fig.10 PDfuze used in experiment

Fig.11 Schematic diagram of experimental scene

Fig.12 Experimental results

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