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Waveform Separation Method for MIMO Radar Based on Compressive Sensing

A radar waveform and separation method technology, applied in the field of radar, can solve the problem of not applying MIMO radar waveform separation and the like

Active Publication Date: 2021-09-14
AIR FORCE UNIV PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

CS theory has been widely used in the radar field, but it has not been applied to MIMO radar waveform separation

Method used

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  • Waveform Separation Method for MIMO Radar Based on Compressive Sensing
  • Waveform Separation Method for MIMO Radar Based on Compressive Sensing
  • Waveform Separation Method for MIMO Radar Based on Compressive Sensing

Examples

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Embodiment

[0056] MIMO radar adopts a uniform linear array with 2 transmissions and 20 receptions, and the array is located on the X axis. The coordinates of the transmitting array elements are [-60,0]m and [60,0]m respectively, and the receiving array elements are symmetrically distributed at intervals of 6m around the origin. The transmission waveform adopts two 40-symbol 4-phase phase encoding signals in the literature [1], the sub-pulse width is 5ns, the corresponding bandwidth is 200MHz, and the distance resolution is 0.75m; the transmission carrier frequency is 10GHz, and the echo sampling frequency is 1GHz. The range imaging range is 30m, and the range sampling frequency is 1GHz. A single scatter point target and a multi-scatter point target composed of 11 scatter points are used respectively, and the target DOD / DOA direction unit vectors are both [0.5145, 0.8575].

[0057] Among them, the literature [1] is H.Deng.Polyphase code design for orthogonal nettedradar systems.IEEE Tran...

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Abstract

The invention discloses a MIMO radar waveform separation method based on compressed sensing, which includes: (1) transmitting orthogonal waveforms; (2) receiving target echoes; (3) constructing a sensing matrix; (4) sparsely reconstructing one-dimensional targets distance like. Based on the sparsity of the radar target in the distance upward, the invention realizes the orthogonal separation of different waveform components in the MIMO radar echo by constructing a perception matrix related to the transmitted waveform set and using a joint sparse restoration algorithm. This method replaces the traditional matched filtering process, effectively suppresses the high range sidelobe caused by non-orthogonal waveforms, and breaks through the limitation of the signal bandwidth on the range resolution, improving the range resolution.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to a method for separating MIMO radar waveforms based on compressed sensing. Background technique [0002] Multiple-Input Multiple-Output (MIMO) radar adopts a multiple-input multiple-receiver system. Each transmitting antenna radiates mutually orthogonal waveforms. Each receiving antenna receives all transmitted signals and responds to echoes corresponding to different transmitted waveforms at the back end. The components are separated, so that the observation channels and degrees of freedom that are much more than the actual number of receiving and transmitting array elements can be obtained. The virtual array formed by MIMO radar is expected to realize the imaging of moving targets under short-term observation or even single-shot illumination, thereby avoiding the complicated problem of translation compensation. [0003] Waveform separation is the basis of MIMO radar signal proces...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/32
CPCG01S7/32
Inventor 胡晓伟童宁宁张永顺郭艺夺王宇晨
Owner AIR FORCE UNIV PLA
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