Joint Estimation of DOA and Carrier Frequency

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In practical scenarios like air-plane navigation and monitoring near an airport, the target signals consist of carrier frequency (CF) known and carrier frequency unknown source signals. When the carrier frequency is unknown, state-of-the-art algorithms like MUltiple SIgnal Classification (MUSIC) cannot be directly applied. In addition, the complexity of Compressed Sensing (CS) approach is too high to use in practice. Although joint estimation of signal parameters via rotational invariance techniques (ESPRIT) can estimate CF and DOA simultaneously, the number of detectable source signals is limited. In our work, we proposed a two-stage estimation algorithm to jointly estimate DOA and CF, and two orthogonal co-prime arrays (CPA) were used to increase degree-of-freedoms. In the first stage, the DOAs of CF known sources were estimated by spatial-smoothing MUSIC and a simple matching method. In the second stage, projected joint ESPRIT (PJE) was used to estimate the DOAs and CFs of CF unknown sources.

The contribution of this work comes in two aspects:

• Our proposed PJE can detect more accurately even when the number of sources grows
• The orthogonal CPAs are utilized and the corresponding signal processing techniques are proposed

Recommended citation:

K.-C. Hsu and J.-F. Kiang, ‘‘Joint Estimation of DOA and Frequency From A Mixture of Frequency Known and Unknown Sources with Orthogonal Coprime Arrays,’’ Sensors 2019, 19, 335.

K.-C. Hsu and J.-F. Kiang, ‘‘Joint Estimation of DOA and Carrier Frequency Based on Coprime Arrays,’’ Progress In Electromagnetics Research Symposium, Aug. 2018.