Relationship between direction of arrival estimation with MUSIC algorithm and number of array elements

Paudel, Prabesh; Oh, Jooseong; Back, Jong-Sang; Jeong, Min Ah; Lee, Seong Ro

doi:10.1109/ictc.2015.7354485

Cited by 2 publications

(1 citation statement)

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“…The number of array elements along with some other parameters define the resolution and accuracy of the estimated DoA. Increasing the number of array elements increases the algorithm complexity [37], FPGA resource requirements, and processing time. Signal processing techniques and DoA estimation in particular, are driven by matrix operations [29].…”

Section: A Optimized Music Algorithm 1) Virtual Array Reductionmentioning

confidence: 99%

Towards Low Latency and Resource-Efficient FPGA Implementations of the MUSIC Algorithm for Direction of Arrival Estimation

Butt

Khan

Ullah

et al. 2021

IEEE Trans. Circuits Syst. I

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The estimation of the Direction of Arrival (DoA) is one of the most critical parameters for target recognition, identification and classification. MUltiple SIgnal Classification (MUSIC) is a powerful technique for DoA estimation. The algorithm requires complex mathematical operations like the computation of the covariance matrix for the input signals, eigenvalue decomposition and signal peak search. All these signal processing operations make real-time and resource-efficient implementation of the MUSIC algorithm on Field Programmable Gate Arrays (FPGAs) a challenge.In this paper, a novel design approach is proposed for the FPGAimplementation of the MUSIC algorithm. This approach enables a significant reduction in both FPGA resources and latency. In more detail, the proposed design enables the estimation of DoA in real-time scenarios in 2µsec with 30% to 50% fewer resources as compared to existing techniques.

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Section: A Optimized Music Algorithm 1) Virtual Array Reductionmentioning

confidence: 99%