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Signal carrier frequency and two-dimensional doa parameter estimation method based on undersampling

A parameter estimation and undersampling technology, which is applied in the field of signal processing, can solve the problems of broadband sparse signal carrier frequency and high sampling rate of two-dimensional DOA parameter estimation, and achieve the effect of reducing algorithm complexity and sampling rate

Active Publication Date: 2020-12-01
HARBIN INST OF TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that under the Nyquist sampling theory, the sampling rate required for wideband sparse signal carrier frequency and two-dimensional DOA parameter estimation is high and needs pairing operation to realize, and proposes a kind of undersampling-based Signal Carrier Frequency and Two-Dimensional DOA Parameter Estimation Method

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  • Signal carrier frequency and two-dimensional doa parameter estimation method based on undersampling
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  • Signal carrier frequency and two-dimensional doa parameter estimation method based on undersampling

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specific Embodiment approach 1

[0033] Specific implementation mode one: as figure 1 shown. The under-sampling-based signal carrier frequency and two-dimensional DOA parameter estimation method described in this embodiment includes the following steps:

[0034] Step 1. Establish an L-shaped array composed of sensors uniformly distributed in the positive direction of the x-axis and the positive direction of the y-axis of the three-dimensional space Cartesian coordinate system, such as figure 2 As shown, two MWC (modulation bandwidth converter) channels are connected behind each sensor in the positive direction of the x-axis, and a delay module is added before the mixing module of one of the MWC channels, and the channel to which the delay module is added is defined as the x-axis Delay channel, the channel without delay module is the x-axis non-delay channel; there is only one MWC channel connected to each sensor in the positive direction of the y-axis, which is defined as the y-axis non-delay channel;

[0...

specific Embodiment approach 2

[0047] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is: the specific process of the step one is:

[0048]

[0049] Among them: x[k], y[k] and z[k] are the sampling values ​​of x-axis non-delay channel, y-axis non-delay channel and x-axis delay channel respectively, A x 、A y and A z They are the array flow pattern matrix of the x-axis non-delay channel, y-axis non-delay channel and x-axis delay channel respectively, and the elements in the array flow pattern matrix are only related to the unknown carrier frequency, azimuth angle and elevation angle; w[k] is the narrowband target The signal after the signal is moved to the baseband, w[k]={w 1 [k],w 2 [k],...,w M [k]}, w 1 [k],w 2 [k],...,w M [k] respectively represent the narrowband target signal s 1 (t),s 2 (t),...,s M (t) The form after moving to the baseband.

specific Embodiment approach 3

[0050] Specific implementation mode three: the difference between this implementation mode and specific implementation mode two is: the specific process of said step two is:

[0051]

[0052] where: x 1 [k] represents the sampling value of the first sub-array of the x-axis non-delay channel, x 2 [k] represents the sampling value of the second sub-array of the x-axis non-delay channel, and Respectively represent the array flow matrix of the first sub-array and the second sub-array of the x-axis non-delay channel;

[0053] the y 1 [k] represents the sampling value of the first sub-array of the y-axis non-delay channel, y 2 [k] represents the sampling value of the second sub-array of the y-axis non-delayed channel, and Respectively represent the array flow matrix of the first sub-array and the second sub-array of the y-axis non-delay channel;

[0054] z 1 [k] represents the sampling value of the first sub-array of the x-axis delay channel, z 2 [k] represents the s...

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Abstract

An undersampling based signal carrier frequency and two-dimensional DOA parameter estimation method belongs to the technical field of signal processing. The method can be used to solving the problem that broadband sparse signal carrier frequency and two-dimensional DOA parameter estimation cannot be realized without a high sampling rate or a pairing operation under the Nyquist sampling theory. AnL type delay array sensor collects a signal, a modulated broadband converter system obtains an undersampling value of a triaxial array, a trilinear decomposition algorithm is used to implement singular value decomposition on the sampling value to obtain the two-dimensional DOA and frequency parameters of the signal, and the signal sampling rate is reduced greatly. The carrier frequency is estimated via the delay channel, the three-bit parameter can be estimated by direct calculation, extra pairing is not needed, the algorithm is less complex, and the time-domain waveform of the signal is recovered finally. The method can be applied to the technical field of signal processing.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a signal carrier frequency and two-dimensional DOA parameter estimation method based on undersampling. Background technique [0002] The research on array signal processing theory began in the 1960s. At the beginning, Howells proposed the adaptive notch sidelobe canceller in 1965; in 1979, Schmidt proposed the multiple signal classification (MUSIC) algorithm; Roy et al. in 1986 The Rotation Invariant Technology (ESPRIT) algorithm for estimating signal parameters proposed in 1999 has greatly promoted the development of array signal processing theory and realized the leap from direction finding algorithm to subspace super-resolution method; at the beginning of the 21st century, N.D. Sidiropoulos modeled the array receiving signal model as a CP decomposition model, introduced the CP decomposition method into the field of array signal processing, and provided a ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S5/00
CPCG01S5/00
Inventor 付宁姜思仪尉志良乔立岩
Owner HARBIN INST OF TECH