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Low-complexity DOA estimation method and system

A low-complexity, DOA technology, applied in the field of low-complexity DOA estimation methods and systems, can solve problems such as large amount of computation, large antenna size, and obstacles to the practical application of subspace algorithms

Active Publication Date: 2013-10-09
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

However, such algorithms all need to perform eigenvalue decomposition on the covariance matrix, which requires a large amount of calculation, about where M is the number of array elements
With the development of technology, the antenna size is getting larger and larger, and the practical application of subspace algorithms has also been greatly hindered.

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Embodiment Construction

[0051] The invention discloses a low-complexity DOA estimation method, including steps W1 to W3:

[0052] In step W1, unitary transformation is performed on the sample data and the transformed data is decomposed into two parts: with Among them, K is a user-defined parameter and P≤K≤min{M,N}, and P is the number of sources;

[0053] In step W2, calculate The autocorrelation matrix of and and The cross-correlation matrix of , and extract their real parts respectively, use with express;

[0054] Through steps W1 and W2, the construction of a complete sample covariance matrix is ​​avoided. At the same time, in the subsequent signal subspace construction, the algorithm only involves the with matrix operations. The complexity required for this step is O(MNK), while the traditional method requires O(MN 2 ), usually in the environment of a large antenna array, the value of K will be much smaller than min{M,N}, so the complexity O(MNK)2 ).

[0055] In step W3, defi...

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Abstract

The invention provides a low-complexity DOA estimation method and system. According to the low-complexity DOA estimation method, unitary transformation is carried out on sample data, data obtained after transformation are divided into two parts, an autocorrelation matrix of and a cross-correlation matrix of and are calculated, and the real part of the autocorrelation matrix and the real part of the cross-correlation matrix are extracted. The low-complexity DOA estimation method and system has the advantages that only a subsample covariance matrix of two real number fields needs to be calculated, a signal subspace is constructed through the method, construction of the covariance matrix of the whole sample and eigenvalue decomposition are avoided, and complexity is further lowered.

Description

technical field [0001] The invention relates to the field of signal processing, and relates to a low-complexity DOA estimation method and system. Background technique [0002] Array signal processing is an important branch in the field of signal processing. After decades of development, it has become increasingly mature and has been widely used in many military and national economic fields such as radar, biomedicine, exploration and astronomy. Its working principle is to form a sensor array with multiple sensors, and use this array to receive and process space signals, with the purpose of suppressing interference and noise, and extracting useful information of signals. Different from general signal processing methods, array signal processing is to receive signals through sensor groups arranged in space, and use the spatial characteristics of signals to filter and extract information. Therefore, array signal processing is often referred to as spatial domain signal processing...

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Application Information

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IPC IPC(8): G01S3/74
Inventor 黄磊钱诚杨云川
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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