A CCM-Based Joint DOA-Frequency Estimation and Signal Recovery with Efficient Sub-Nyquist Sampling | IEEE Conference Publication | IEEE Xplore

A CCM-Based Joint DOA-Frequency Estimation and Signal Recovery with Efficient Sub-Nyquist Sampling


Abstract:

This paper addresses key challenges caused by high sampling rates in wideband joint spectrum sensing applications. A joint Direction of Arrival (DOA) and frequency estima...Show More

Abstract:

This paper addresses key challenges caused by high sampling rates in wideband joint spectrum sensing applications. A joint Direction of Arrival (DOA) and frequency estimation algorithm is proposed by utilizing the Cross-Covariance Matrix (CCM) constructed from the outputs of an efficient undersampling array receiver with multiple elements, only one of which is connected with multiple time-delay branches. In contrast to previous autocorrelation-based methods, the proposed method reduces the impact of noise and doubles the maximum unit time-delay, resulting in improved estimation performance. Additionally, it does not impose restrictions on the number of array sensors and time-delay channels, which allows for more flexibility in the allocation of resources for the receiver. In the simulation, the proposed algorithm demonstrates outstanding performance.
Date of Conference: 14-19 April 2024
Date Added to IEEE Xplore: 18 March 2024
ISBN Information:

ISSN Information:

Conference Location: Seoul, Korea, Republic of

Funding Agency:


References

References is not available for this document.