Efficient Direction-of-Arrival Estimation Method Based on Variable-Step-Size LMS Algorithm

Babur Jalal, Xiaopeng Yang, Xuchen Wu, Teng Long, Tapan K. Sarkar

Research output: Contribution to journalArticlepeer-review

36 Scopus citations


Conventional direction-of-arrival (DOA) estimation methods based on subspace decomposition are computationally complex and difficult to implement in practical applications. Although a fixed-step-size least mean square (FSS-LMS) algorithm for DOA estimation has overcome the complexity problem; however, the manual selection of suitable step size is difficult. In this letter, a variable-step-size LMS algorithm is proposed for DOA estimation. In the proposed method, the step size is updated by using the estimated signal power and the cumulative sum of squared instantaneous error, and the spatial spectrum is obtained by the reciprocal of array pattern, where the peak values indicate the estimated DOAs of signals. The proposed method can choose step size adaptively and provide better performance with low computational complexity. The performance of proposed method is verified by the numerical simulations and compared with some existing methods.

Original languageEnglish (US)
Article number8740945
Pages (from-to)1576-1580
Number of pages5
JournalIEEE Antennas and Wireless Propagation Letters
Issue number8
StatePublished - Aug 2019


  • Direction of arrival (DOA) estimation
  • least mean square (LMS)
  • spatial spectrum
  • variable step size

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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