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A method for calculating the lower bound of gen-Cramero for cloud mimo radar based on quantitative data

A calculation method and radar technology, applied in the field of radar, can solve problems such as quantization is not related

Active Publication Date: 2022-07-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, the quantization in Document 1 is not associated with the actual quantizer, and most of the existing quantization problems on distributed processing consider the linear signal model and scalar parameter estimation, so the actual quantizer ( It is necessary to analyze the influence of the uniform quantizer) on the vector parameter estimation of the nonlinear complex signal model

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  • A method for calculating the lower bound of gen-Cramero for cloud mimo radar based on quantitative data
  • A method for calculating the lower bound of gen-Cramero for cloud mimo radar based on quantitative data
  • A method for calculating the lower bound of gen-Cramero for cloud mimo radar based on quantitative data

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[0105] For the convenience of description, the following definitions are first made:

[0106] For transpose, () H is the conjugate transpose, Indicates mathematical expectations.

[0107] Consider a cloud MIMO radar with M single-antenna transmitters and N single-antenna receivers, in a Cartesian coordinate system, the mth (m=1,...,M)th transmit antenna and the nth (n=1) ,...,N) receiving antennas are located at and The mth transmitter is at kT s The sampling value of the moment is E is the total energy emitted, T s is the sampling interval, and k (k=1, . . . , K) is the sampling number, assuming that the transmitted signals of different transmitters are orthogonal. Suppose the target is located at (x, y) and the movement speed is (v x ,v y ), so at kT s The signal of the mth transmitter received by the nth receiver at time is,

[0108]

[0109] in is the target reflection coefficient, assuming it is known; τ nm , f nm represents the delay and Doppler f...

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Abstract

The invention discloses a method for calculating the root Cramero lower bound of cloud MIMO radar based on quantitative data, which belongs to the technical field of radar, and particularly relates to the calculation of the parameter estimation performance bound in radar signal processing. The technical problem solved by the present invention in view of the deficiencies of the background technology is to obtain the cloud MIMO radar joint target velocity and position parameter estimation based on quantitative data, using two processing methods of direct analysis and quantization and approximate analysis and quantization, and performing maximum likelihood estimation. , and computes the Cramero bound. The direct analysis quantization calculated by the method of the present invention and the Cramero bound when the quantization effect is approximated as a Gaussian error can be used to evaluate the performance of cloud MIMO radar joint target velocity and position parameter estimation, and the effect of quantization on performance is considered, This reduces the complexity of implementation and is closer to engineering applications.

Description

technical field [0001] The invention belongs to the technical field of radar, and particularly relates to the calculation of the Cramero Bound (CRB) of parameter estimation performance in radar signal processing. Background technique [0002] In cloud radar, each local receiver receives the transmit signal from the transmit antenna and communicates with the fusion center via a backhaul network. MIMO (Multiple Input Multiple Out) is a multi-antenna transceiver technology and an important technology in the radar field. Applying MIMO technology to cloud radar can greatly improve the performance of cloud radar. [0003] Target parameter estimation is one of the main functions of the radar system. In most applications, the parameter estimation accuracy determines the overall performance of the radar system. In order to measure the parameter estimation performance of cloud MIMO radar system, a quantitative comprehensive evaluation index is needed. The Cramerrow Bound (CRB) is t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/42
CPCG01S7/42
Inventor 王珍何茜
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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