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MIMO radar waveform separation method based on compressive sensing

A radar waveform and separation method technology, applied in the field of radar, can solve the problem of not using MIMO radar waveform separation, and achieve the effects of improving separation effect, improving efficiency and reducing cost

Active Publication Date: 2017-08-11
AIR FORCE UNIV PLA
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  • Application Information

AI Technical Summary

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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  • MIMO radar waveform separation method based on compressive sensing
  • MIMO radar waveform separation method based on compressive sensing
  • MIMO radar waveform separation method based on compressive sensing

Examples

Experimental program
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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 present invention discloses a MIMO (Multiple-Input Multiple-Output) radar waveform separation method based on compressive sensing. The method comprises: (1) emitting orthogonal waveforms; (2) receiving a target echo; (3) constructing a sensing matrix; and (4) performing sparse reconstruction of a target one-dimensional distance image. Based on the sparsity of a radar target on a distance direction, the MIMO radar waveform separation method based on the compressed sensing constructs the sensing matrix related to a transmitted waveform set and employs the joint sparse recovery algorithm to realize the orthogonal separation of different waveform components in the MIMO radar echo. The method provided by the invention replaces a traditional matched filtering process, effectively inhibits the high sidelobe of the distance direction caused by non-orthogonal waveforms, breaks through the restriction of signal bandwidth for the distance resolution, and improves the distance 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 Applications(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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