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Direction of Arrival Estimation Method Based on Minimum Cross-Entropy Spectral Analysis

A direction-of-arrival estimation and spectrum analysis technology, which is applied to the orientation device for measuring the direction, the system for determining the direction or offset, and the direction finder using ultrasonic/sonic/infrasonic waves, etc., can solve the problems of data blind areas and achieve good results. Tolerance, the effect of reducing the amount of calculation

Active Publication Date: 2016-01-06
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, although these algorithms reduce the calculation time, there is a problem of data blindness.

Method used

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  • Direction of Arrival Estimation Method Based on Minimum Cross-Entropy Spectral Analysis
  • Direction of Arrival Estimation Method Based on Minimum Cross-Entropy Spectral Analysis
  • Direction of Arrival Estimation Method Based on Minimum Cross-Entropy Spectral Analysis

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Embodiment 1

[0062] Such as figure 1 As shown, the detection device used in the present invention includes a dry end and a wet end, the dry end includes a signal transmitter, a power amplifier, a signal receiver and a signal processor, and the wet end includes a transmitting transducer and an 8-element receiving hydrophone At this time, the number of transmitting array elements is M=1, and the number of receiving array elements is N=8.

[0063] It should be noted that although figure 1 For convenience of description, take a single transmitting transducer and an 8-element receiving hydrophone as an example, but the transmitting transducer in the transmitting transducer array of the present invention can be an M element, and the receiving hydrophone in the receiving hydrophone array The device can be N elements, where the value of M is the same as the number of mutually orthogonal orthogonal signals sent by the signal transmitter, and M is a positive integer ≥ 1; N is the number of receivin...

Embodiment 2

[0072] Using the experimental data of the underwater acoustic laboratory of Zhejiang University in Moganshan Lake, Huzhou City, Zhejiang Province in April 2013, the number of array elements N=8, the number of samples is variable, the number of sources is 1, and the source signal is PCW signal. The signal duration is 10ms, the frequency is 6kHz, the sampling frequency is 48kHz, and the incoming wave direction is 0°. The sound velocity gradient profile on the day of the experiment is as follows: Figure 5 As shown, the data processing results are as follows Figure 6 . It is easy to see that for the actual sampled signal, the MCE algorithm using one snapshot data can identify the outgoing wave direction very well, but the MUSIC algorithm cannot, which is in good agreement with the previous simulation results.

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Abstract

The invention discloses an arrival direction estimation method based on minimum mutual entropy spectrum analysis. The method comprises steps that: a signal is emitted by an emission energy transducer; echo of an emitted sound signal is received by a reception hydrophone array; modeling of a plane wave model is carried out for the received echo signal, and processing is carried out by utilizing the minimum mutual entropy spectrum estimation method to acquired a space power spectrum estimation value; analysis on the space power spectrum estimation value is carried out, and a corresponding abscissa of the peak value is an estimation angle of the object. According to the arrival direction estimation method, through one-time data sampling employing the array with relatively a few array elements, a spectrum analysis result with high resolution can be acquired. A cepstrum method is further employed, a convergence speed of a minimum mutual entropy spectrum analysis algorithm can be improved through reverse FFT transformation. Compared with a routine space spectrum estimation method, the arrival direction estimation method provided by the invention has advantages of higher resolution and smaller operand, and real-time processing on the array signal can be carried out. The algorithm is independent of the pre-estimated source number, and relatively good tolerance, relatively high resolution and an extremely low sidelobe level are realized.

Description

technical field [0001] The invention relates to the fields of radar, sonar and wireless communication, in particular to a direction-of-arrival estimation method based on minimum cross-entropy spectrum analysis. Background technique [0002] Direction of Arrival (DOA) estimation is an important research direction in the field of array signal processing, and has a wide range of applications in the fields of communication, radar and sonar. When locating a signal, it is generally necessary to determine the two-dimensional angle of arrival (azimuth and elevation) of the signal, that is, 2D-DOA. Scholars have proposed various effective and practical algorithms based on spatial spectrum estimation, such as multiple signal classification algorithm (Multiple Signal Classification, MUSIC and rotation invariant algorithm (Estimation of Signal Parameter via Rotational Invariance Techniques, ESPRIT) and other classic algorithms to achieve 2D-DOA estimation. However, the calculation of th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S3/802
CPCG01S3/8036
Inventor 徐豫西潘翔宫先仪
Owner ZHEJIANG UNIV
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