An efficient real-beam azimuth focusing method for near-field targets of mimo radar
A technology of azimuth focusing and real beam, which is applied in radio wave measurement system, radio wave reflection/re-radiation, utilization of re-radiation, etc., can solve problems such as phase error, affecting MIMO radar imaging quality, and huge amount of computation
Inactive Publication Date: 2016-05-25
HOHAI UNIV
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[0004] The real beam imaging of MIMO radar is limited by near-field conditions, and the minimum redundant array will produce a certain phase error (the phase error under far-field conditions is negligible), which in turn affects the imaging quality of MIMO radar near-field
The traditional digital beamforming technology cannot directly obtain the high resolution of the azimuth of the target, and the phase difference must be compensated before imaging
Some literature proposes to compensate the linear phase of different equivalent phase centers and then perform coherent accumulation, but it is necessary to compensate the secondary phase error introduced between different transmitting array elements. In actual engineering processing, since the target azimuth angle and distance are unknown, it is necessary to The distance units are separately compensated to obtain the focused imaging map in the whole airspace, and the calculation amount is extremely huge
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[0033] The invention will be described in further detail below in conjunction with the accompanying drawings.
[0034] The signal processing of MIMO radar is based on MN output signals obtained by matched filters (assuming there are M transmitting arrays and N receiving arrays). In theory, MN array elements can be obtained by using M+N actual transmitting and receiving array elements and its aperture is the sum of the apertures of the transmit and receive arrays. Through the matched filtering of the MN observation channels, the steering vector can be expressed as
[0035] υ={exp[-jω 0 (τ t,1 +τ r,1 )],...,exp[-jω 0 (τ t,m +τ r,n )]}(1) ω in the above formula 0 Indicates the carrier frequency, τ t,m Indicates the time delay from the mth transmitting element to the target, τ r,n Indicates the delay from the target to the nth receiving element. It can be seen from the above formula that each element is composed of two parts, where υ t represents the emission steering v...
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The invention discloses an MIMO (Multiple-input Multiple-output) radar near-field target efficient real beam direction focusing method. The method comprises the steps of designing the minimum redundancy array of MIMO radar transmitting and receiving arrays on the basis of the PCA (Phase Center Approximation) technology, then conducting high-precision compensation on secondary phase errors for near-field target real beam focusing imaging, and finally achieving the near-field target real beam direction focusing by the adoption of the DFT (Discrete Fourier Transform). According to the MIMO radar near-field target efficient real beam direction focusing method, the near-field target direction resolution can be effectively improved, the calculation quantity is small, and engineering construction is easy.
Description
technical field [0001] The invention relates to multiple-input multiple-output (MIMO, Multiple-Input Multiple-Output) radar near-field real beam imaging technology, in particular to a MIMO radar near-field target high-efficiency real beam azimuth focusing method. Background technique [0002] The advantage of MIMO radar over traditional radar performance lies in its resolution and real-time performance. MIMO radar combines array and waveform diversity technology at the same time, and can form virtual array element observation channels that are far more than the actual number of array elements. In addition, the imaging performance of MIMO radar will be greatly improved compared with other imaging radars by coherently processing multi-channel echo signals. [0003] At present, the mature airborne synthetic aperture radar imaging algorithms are all based on the single-station spontaneous and self-receiving system, such as the range-Doppler (RD, Range-Doppler) algorithm, Chirp-...
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IPC IPC(8): G01S7/02
CPCG01S7/02G01S13/89
Inventor 沈明威彭娟王杰
Owner HOHAI UNIV