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Adaptive distributed source DOA estimation method under strong pulse noise

A distributed source, self-adaptive technology, applied in radio wave direction/deviation determination systems, direction finders using radio waves, complex mathematical operations, etc., to suppress impulse noise and multipath interference, improve effectiveness and robustness Effect

Pending Publication Date: 2021-10-01
TAIZHOU UNIV
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Problems solved by technology

[0006] Aiming at the DOA estimation problem of a target source in a complex electromagnetic environment where impulse noise and multipath interference coexist, the present invention provides an adaptive distributed source DOA estimation method under strong impulse noise, which specifically includes:

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  • Adaptive distributed source DOA estimation method under strong pulse noise
  • Adaptive distributed source DOA estimation method under strong pulse noise
  • Adaptive distributed source DOA estimation method under strong pulse noise

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Embodiment 1

[0016] This embodiment provides an adaptive distributed source DOA estimation method under strong impulse noise, and the steps are as follows:

[0017] In the first step, the distributed source model is used to describe the output signal of the array, which effectively solves the influence of multipath interference on parameter estimation;

[0018] Assume that L mutually independent coherent distributed sources are incident on a uniform linear array (UniformLinear Array, ULA) composed of M array elements, and the incident angles are {θ 1 ,θ 2 ,…,θ L}, the carrier wavelength is λ, and the array element spacing is d. The complex envelope of the observed signal is expressed as:

[0019]

[0020] Among them, Θ=[-π / 2,+π / 2] is the observation interval, and the array manifold is expressed as A=[a(θ 1 ), a(θ 2 ),…,a(θ L )], a(θ)=[1,exp(-j2πdsinθ / λ),…,exp(-j2πd(M-1)sinθ / λ)] T is the steering vector of the incident signal along the θ direction, is the angular signal density ...

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Abstract

The invention discloses a self-adaptive distributed source DOA estimation method under strong pulse noise, which relates to the field of radio monitoring and positioning and specifically comprises the following steps: describing an array output signal by adopting a distributed source model; constructing an LDB kernel function based on a Logistic function derivative, and defining a cost function based on the LDB kernel function; obtaining a square error function through the cost function, decomposing the array output signal based on the square error function, and obtaining the estimation of a signal subspace; and constructing a two-dimensional spatial spectrum according to the signal subspace, and carrying out local spectrum peak search on the two-dimensional spatial spectrum to obtain estimation of a target information source DOA and a spread angle. According to the method, impulse noise and multipath interference are effectively suppressed, joint estimation of the DOA and the spread angle is accurately realized, and the effectiveness and robustness of the algorithm are improved.

Description

technical field [0001] The invention relates to the field of radio monitoring and positioning, in particular to an adaptive distributed source DOA estimation method under strong impulse noise. Background technique [0002] As an important technical means of radio monitoring, radio parameter estimation and target positioning based on array received signals have been widely concerned and studied deeply for decades. Researchers have proposed a variety of DOA estimation theories and methods, which have been widely used in military and civilian fields such as wireless communication, sonar, and radar. The MUSIC algorithm proposed by Schmidt in 1979 and the ESPRIT algorithm based on rotation-invariant technology proposed by Roy et al. in 1989 introduced the feature subspace technology into DOA estimation, realizing the leap from conventional resolution to super-resolution in DOA estimation. In order to further optimize the performance of the algorithm and cope with different signa...

Claims

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Application Information

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IPC IPC(8): G01S3/14G06F17/10
CPCG01S3/14G06F17/10
Inventor 田全蔡睿妍
Owner TAIZHOU UNIV
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