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LIANG Guolong, TENG Yuanxin, WANG Jinjin, FU Jin. A High Precision Direction of Arrival Estimation Method Applied to Semi-coprime Arrays[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231139
Citation: LIANG Guolong, TENG Yuanxin, WANG Jinjin, FU Jin. A High Precision Direction of Arrival Estimation Method Applied to Semi-coprime Arrays[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231139

A High Precision Direction of Arrival Estimation Method Applied to Semi-coprime Arrays

doi: 10.11999/JEIT231139
Funds:  The National Natural Science Foundation of China (62101153), Stable Supporting Fund of Acoustic Science and Technology Laboratory (JCKYS2021604SSJS003)
  • Received Date: 2023-10-18
  • Rev Recd Date: 2024-01-22
  • Available Online: 2024-01-31
  • For Semi-Coprime Arrays (SCA), the performance of classical Direction of Arrival (DoA) estimation algorithm degrades under the presence of coherent adjacent sources. To address this problem, a high-precison DoA estimation method for SCA is proposed. Firstly, the array is divided into three subarrays (Subarray 1 to 3 respectively). And conventional beamforming algorithm is applied to obtain the signals of the three subarrays, respectively. Then, the output signal of subarray 3 is weighted and added to the output signals of subarray 1 and 2 to construct one sum beam. Meanwhile, the difference between output signals of subarray 1 and subarray 2 is used to construct one difference beam. Finally, the final output signal is obtained by the sum beam signal and the difference beam signal. The azimuth spectrum is the power of the final output signal. This method is based on the characteristic of SCA arrays to construct sum beam and difference beam, fully utilizing the overlapping sensors of the three subarrays to improve estimation accuracy. Simulations and lake experiments are implemented to validate the effectiveness for the proposed method used for DoA estimation in SCA. The proposed method performs better than the existing approaches, such as Minimum Variance Distortionless Response (MVDR) and Min Processing (MP) when facing adjacent coherent sources.
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