Acoustic vector circular array mode-domain robust direction estimation method
An azimuth estimation and acoustic vector technology, which is applied to various directional systems, direction finders using ultrasonic/sonic/infrasonic waves, etc., and can solve the azimuth estimation method in the circular array modal domain of acoustic vector. Poor robustness, inability to meet the needs of long-range passive detection of underwater targets, etc., to achieve the effect of strong background noise suppression, small calculation amount, and high resolution
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example 1
[0083] Simulation example 1: Comparative analysis of real-valued and non-real-valued sound pressure and vibration velocity joint processing space spectrum
[0084] The simulation parameters are set as follows: the number of uniform circular array elements is 11 elements, the radius r=0.7λ, the frequency is 2kHz, the integration time T=1s, the signal-to-noise ratio (abbreviated as SNR) is 0dB, and the incident direction of the sound source is Figure 3(a)-(b) shows the joint processing MVDR of non-real-valued sound pressure and vibration velocity in the modal domain (referred to as M-VMVDR), the joint processing MVDR of real-valued sound pressure and vibration velocity in the modal domain (referred to as RM-VMVDR) and the model The orientation estimation results of the three methods of Robust MVDR (RM-RVMVDR for short) are jointly processed by using the real-valued sound pressure and vibration velocity, where μ is the constraint parameter of the RM-RVMVDR algorithm.
[0085] Co...
example 2
[0086] Simulation Example 2: Effect of Signal-to-Noise Ratio on Spatial Spectrum Estimation in the Presence of Steering Vector Mismatch
[0087] The simulation parameters are set as follows: the number of elements of the uniform circular array is 11 elements, the radius r=0.7λ, the frequency is 2kHz, the integration time T=1s, the incident direction of the sound source Mismatch error dis=-10dB. Figure 4(a)-(d) shows the real-valued sound pressure MVDR (referred to as RM-PMVDR), RM-VMVDR and RM-RVMVDR (constraint parameter μ=0.5) under different SNRs based on phase-mode transformation theory The spatial spectrum results were compared. Table 1 corresponds to Figure 4(a)-(d) and shows the half-power beamwidths of the spatial spectrum under different SNR conditions for the three methods.
[0088] Table 1 Half-power beamwidth of different methods (unit: / °)
[0089]
[0090] Comparing the spatial spectrum results under different SNRs, it can be seen that: (1) The RM-PMVDR alg...
example 3
[0091] Simulation Example 3: Analysis of Dual-Target Azimuth Estimation Results
[0092] The simulation parameters are set as follows: the number of elements of the uniform circular array is 11 elements, the radius r=0.7λ, the frequency is 2kHz, the integration time T=1s, SNR=0dB, the relevant dual sound sources (correlation coefficient e π / 4 ) incident direction Figure 5(a)-(b) is a comprehensive comparative analysis of the spatial spectrum results of the three algorithms for the acoustic vector circular array.
[0093] Comparing the spatial spectrum, it can be seen that: (1) When the sound sources are related, the M-VMVDR algorithm cannot estimate the orientation of the two sound sources, but the RM-VMVDR algorithm can effectively estimate the orientation of the related sound sources. (2) In the same situation, the RM-RVMVDR algorithm improves the robustness of the RM-VMVDR algorithm, and the spatial spectrum shows a larger dynamic range, a sharper main lobe and a stronger...
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