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Centralized MIMO radar waveform optimization method based on main lobe broadening

A main lobe broadening and radar waveform technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as being less than ideal and reducing radar detection performance

Active Publication Date: 2019-11-15
XIDIAN UNIV
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Problems solved by technology

This method reduces the sidelobe level of the angle domain signal to a certain extent, but its defect is that the reduction of the sidelobe level of the angle domain signal is not ideal because the integrated sidelobe level of the angle domain signal is reduced. Reduced radar detection performance

Method used

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  • Centralized MIMO radar waveform optimization method based on main lobe broadening
  • Centralized MIMO radar waveform optimization method based on main lobe broadening
  • Centralized MIMO radar waveform optimization method based on main lobe broadening

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Embodiment Construction

[0061] Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail:

[0062] refer to figure 2 , the present invention comprises the following steps:

[0063] Step 1) Construct the transmit waveform matrix S of the centralized MIMO radar system:

[0064] Build includes by N t transmit antenna Concentrated MIMO radar system with uniform linear array with half-wave spacing, and with N t transmit waveforms i is a row vector, each row vector contains N s symbols, the constructed transmit waveform matrix S is an N t ×N s A matrix of dimension:

[0065]

[0066] Among them, t i Indicates the i-th transmitting antenna, i=1,2,...N t , N t ≥2,s i Indicates the i-th transmitting antenna t i Emitted waveform, N s means s i The number of code elements included, [·] T Represents the transpose of a matrix;

[0067] In this embodiment, the number N of transmit antennas of the centralized MIMO radar is set ...

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Abstract

The invention provides a centralized MIMO radar waveform optimization method based on main lobe broadening, which is used for solving the problem of relatively high sidelobe level of angular domain signals existing in the prior art. The method comprises the implementation steps as follows: constructing a transmitting waveform matrix of a centralized MIMO radar system; calculating the angular domain signals; calculating a transmitting direction graph, and building an optimized objective function; carrying out autocorrelation and cross-correlation on the angular domain signals; building an optimized objective function of the autocorrelation sidelobe level and the cross-correlation level; building an optimized objective function of the autocorrelation main lobe level; building an optimized objective function of a main lobe broadening waveform of the centralized MIMO radar system; and acquiring a centralized MIMO radar waveform optimization result. According to the centralized MIMO radar waveform optimization method, the sidelobe level of the angular domain signals is reduced while the expected transmitting direction graph is matched.

Description

technical field [0001] The invention belongs to the technical field of radar waveform acquisition, and relates to a centralized MIMO radar waveform optimization method, in particular to a centralized MIMO radar waveform optimization method based on main lobe broadening, which reduces the angle while matching the desired transmission pattern. The sidelobe level of the domain signal. Background technique [0002] Radar waveform is the carrier of radar system information. MIMO radar is a general term for radars that use multi-channel transmission and multi-channel reception technology. According to the array element spacing, MIMO radar can be divided into two types: distributed MIMO radar and centralized MIMO radar. Compared with distributed MIMO radar, centralized MIMO radar has a smaller distance between adjacent antennas, and each transmitting antenna can transmit different signals from each other. Waveforms, mainly through waveform optimization to achieve the ability of w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/32G01S7/41
CPCG01S7/32G01S7/418
Inventor 周生华刘宏伟李慧靖徐磊磊王英华马晖
Owner XIDIAN UNIV
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