A joint estimation method of signal spectrum, carrier frequency and DOA based on beamforming MWC
By using beamforming technology and singular value decomposition method in multi-channel samplers, joint estimation of spectrum, carrier frequency and DOA on broadband sparse signals is solved, and the problems of high sampling rate and information redundancy in traditional methods are achieved, lower hardware complexity and higher robustness are achieved.
Patent Information
- Application Number
- CN202111408852.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-11-19
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2041-11-19
AI Technical Summary
In the joint estimation of DOA and carrier frequency of broadband sparse signals under the Nyquist sampling theory, the sampling rate is high and information is redundant, making it difficult to achieve real-time and low-energy hardware implementation.
Using a multi-channel sampler (MWC) structure based on beamforming, a uniform linear array modulation broadband converter is used to sample, an R matrix is constructed, and the singular value decomposition and eigenvalue estimation of the ESPRIT method is performed. Combined with adaptive beamforming and OMP algorithm, a joint estimation of the signal spectrum, carrier frequency and DOA is realized.
It reduces the analog bandwidth of the ADC, does not require precise delay, simplifies the hardware structure, improves the system's robustness and signal reconstruction efficiency, and overcomes the problems of high sampling rate and information redundancy in traditional methods.