MTD filter group designing method based on frequency domain discrete sampling constraint convex optimization

A filter bank, frequency domain discrete technology, used in instruments, radio wave measurement systems, impedance networks, etc., can solve problems such as high mathematical difficulty, inability to achieve 0-notch notch design of MTD filters, inconsistent stopband attenuation, etc.

Active Publication Date: 2017-12-12
XIDIAN UNIV +1
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Problems solved by technology

Among them, both the window function method and the frequency sampling method have the problems that the boundary frequency is not easy to control, the ripple control is difficult, and the stop band attenuation is inconsistent.
The equal-ripple optimal approximation method overcomes the above problems, but its mathematical difficulty is high, and programming is difficult. Almost only existing software packages or toolboxes can be used, and the software packages or toolboxes only have passband, transition band and stop band. Ribbon design, 0-sag notch design of MTD filter cannot be realized

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  • MTD filter group designing method based on frequency domain discrete sampling constraint convex optimization
  • MTD filter group designing method based on frequency domain discrete sampling constraint convex optimization
  • MTD filter group designing method based on frequency domain discrete sampling constraint convex optimization

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[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] Convex optimization problem is an important tool for studying mathematics, engineering science and management science, and it is also widely used in image processing, matrix optimization, network economy, traffic balance and low-rank sparse matrix restoration problems. A practical problem can be considered well solved if it can be expressed as a convex optimization problem. But it is often more difficult to identify a convex optimization problem than to...

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Abstract

The invention belongs to the technical field of filters, and discloses an MTD filter group designing method based on frequency domain discrete sampling constraint convex optimization. The method comprises steps of setting radar working parameters, stop band attenuation of an MTD filter group, attenuation of a non-zero channel zero recessed opening, normalization frequency width of the non-zero channel zero recessed opening, the number N of channels; determining a pass band normalization frequency interval of the nth channel, the stop band normalization frequency interval, and the zero recessed opening normalization frequency interval; determining an optimization function of a filter coefficient of the nth channel; if the filter coefficient of the nth channel fails to meet a single-channel design requirement, changing the zero recessed opening normalization frequency interval and re-solving a filter coefficient; estimating the filter coefficients of the N channels; if the filter coefficients fail to meet an overall design requirement, adjusting the pass band normalization frequency interval of the non-zero channel. Thus, the an MTD filter group with the adjustable pass band frequency range can be obtained, the controllable stop band attenuation and the enough deep non-zero channel zero recessed opening can be obtained.

Description

technical field [0001] The invention belongs to the technical field of filter design, in particular to an MTD filter bank design method based on frequency-domain discrete sampling constrained convex optimization. Background technique [0002] The moving-target indication (MTI) of the radar signal can suppress clutter and improve the power signal-to-clutter ratio, but the moving target signal will also be lost. The magnitude of the loss depends on the frequency response characteristics of the MTI filter and the moving target related to the Doppler frequency. By cascading the Doppler filter bank after the MTI filter, the matching filter with the coherent pulse train signal is realized, and the power signal-to-noise ratio is improved; at the same time, the clutter image technology is used to detect slow targets and tangential flying targets. Detection, this improvement is called MTD, which is distinguished from MTI which only has a clutter suppression filter. [0003] In rada...

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Application Information

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IPC IPC(8): G01S7/41H03H17/00
CPCG01S7/414H03H2017/0072
Inventor 苏涛李强吴凯
Owner XIDIAN UNIV
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