4.6 Article

Logarithmic-Domain Array Interpolation for Improved Direction of Arrival Estimation in Automotive Radars

期刊

SENSORS
卷 19, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/s19102410

关键词

array interpolation; automotive radar; direction of arrival (DOA) estimation

资金

  1. Technology Innovation Program - Ministry of Trade, Industry & Energy (MOTIE, Korea) [10080086]
  2. Industrial Strategic Technology Development Program - Ministry of Trade, Industry & Energy (MOTIE, Korea) [10080086]
  3. Korea Evaluation Institute of Industrial Technology (KEIT) [10080086] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

In automotive radar systems, a limited number of antenna elements are used to estimate the angle of the target. Therefore, array interpolation techniques can be used for direction of arrival (DOA) estimation to achieve high angular resolution. In general, to generate interpolated array elements from original array elements, the method of linear least squares (LLS) is used. When the LLS method is used, the amplitudes of the interpolated array elements may not be equivalent to those of the original array elements. In addition, through the transformation matrix obtained from the LLS method, the phases of the interpolated array elements are not precisely generated. Therefore, we propose an array transformation matrix that generates accurate phases for interpolated array elements to improve DOA estimation performance, while maintaining constant amplitudes of the array elements. Moreover, to enhance the effect of our interpolation method, a power calibration method for interpolated received signals is also proposed. Through the simulation, we confirm that the array interpolation accuracy and DOA estimation performance of the proposed method are improved compared to those of the conventional method. Moreover, the performance and effectiveness of our proposed method are also verified using data obtained from the commercial radar system. Because the proposed method exhibits better performance when applied to actual measurement data, it can be utilized in commercial automotive radar systems.

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