Wideband DOA Estimation Algorithm Based on RSS Algorithm Under Compressed Sensing Theory

A technology of compressed sensing and estimation algorithms, applied in complex mathematical operations, direction finders using radio waves, radio wave direction/deviation determination systems, etc., can solve practical limitations, cannot accurately estimate the direction of arrival, and complex calculations and other issues to achieve the effect of avoiding signal distortion

Active Publication Date: 2021-08-13
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

At present, high-resolution DOA estimation algorithms are mainly divided into three types: the first is a linear prediction algorithm represented by the Capon adaptive beamforming method, which obtains the spatial spectrum of the signal by improving the utilization information of the signal to form the desired beam shape; The second is a subspace decomposition algorithm represented by multiple signal classification (MUSIC), which constructs high-resolution spatial spectrum peaks according to subspace decomposition, and crosses into a new field of DOA estimation; the third is based on The maximum likelihood algorithm (maximum likelihood, ML) is a representative subspace fitting algorithm. This algorithm needs to search for multidimensional spectral peaks, and has excellent statistical performance, but the calculation is complex and requires an appropriate initial value.
These classic DOA estimation algorithms have certain limitations in application, and cannot break through the limitations of subspace algorithms. They usually cannot accurately estimate the DOA when the signal-to-noise ratio is low, the snapshot is small, and the spatial distance between sources is small. direction, practicality is limited

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  • Wideband DOA Estimation Algorithm Based on RSS Algorithm Under Compressed Sensing Theory
  • Wideband DOA Estimation Algorithm Based on RSS Algorithm Under Compressed Sensing Theory
  • Wideband DOA Estimation Algorithm Based on RSS Algorithm Under Compressed Sensing Theory

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Embodiment Construction

[0024] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0025] Such as figure 1 Shown is the flow chart of the present invention: Utilize conventional low-resolution algorithm to estimate the direction of arrival of the signal, obtain the DOA initial estimation set θ, and determine the reference frequency point f at the same time 0 . The specific method: by establishing constraints between the focused direction matrix and the direction matrix at the focused frequency, under the condition of ensuring the minimum focus construction error, focus the sub-band signals in the bandwidth except the ...

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Abstract

The wideband DOA estimation algorithm based on the RSS algorithm under the compressed sensing theory belongs to the related fields of array signal processing and radar detection. The invention samples the signal at a rate much lower than that required by the Nyquist sampling theorem under the condition that the information is not lost, and can completely recover the signal at the same time. The present invention "shares" the data at each frequency point with the data at the reference frequency point, thereby avoiding pre-estimation of azimuth and improving estimation accuracy. The present invention combines compressed sensing theory with DOA estimation, uses the idea of ​​focusing to classify broadband signals and the like into narrowband signals, thereby using the idea of ​​narrowband to solve the problem, and greatly reduces the huge calculation amount of the original broadband estimation. The accuracy of the estimation is improved under the premise of the same sampling.

Description

technical field [0001] The invention is a direction of arrival (DOA) estimation algorithm, which is applied to wireless communication, medical imaging, electronic countermeasures and other tasks, and can automatically complete the estimation of one-dimensional direction of arrival angle. The invention belongs to related fields such as array signal processing and radar detection. Background technique [0002] Array signal processing, also known as airspace signal processing, is an important branch of modern signal processing. It is widely used in the fields of mobile satellite communication, earthquake monitoring, radio astronomy, and national economy, and has been extensively researched and developed. Array signal processing is mainly to place a group of sensors in different positions in space in a fixed way, perform corresponding data processing and theoretical analysis on the signals received by these sensors, extract useful signals from electromagnetic signals and suppres...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S3/12G01S3/10G01S3/14G06F17/12G06F17/16
CPCG01S3/10G01S3/12G01S3/14G06F17/12G06F17/16
Inventor 窦慧晶梁霄张文倩
Owner BEIJING UNIV OF TECH
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