CN103475376A - Radar Doppler return signal data compression method - Google Patents
Radar Doppler return signal data compression method Download PDFInfo
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- CN103475376A CN103475376A CN2013104378645A CN201310437864A CN103475376A CN 103475376 A CN103475376 A CN 103475376A CN 2013104378645 A CN2013104378645 A CN 2013104378645A CN 201310437864 A CN201310437864 A CN 201310437864A CN 103475376 A CN103475376 A CN 103475376A
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Abstract
A radar Doppler return signal data compression method comprises the steps that Fourier transform is firstly conducted on original data, the data are converted to frequency domain data from time domain data, the frequency domain data of signals are analyzed and processed, useful data in a dominant frequency band range are extracted from the frequency domain data, the data outside the dominant frequency band range are eliminated, and the extracted useful data are stored in a database; reductive processing is conducted on the frequency domain data, so that the length of the obtained frequency domain data is identical to that of the original data, inverse Fourier transform is further conducted, the signal data are converted into time domain data from the frequency domain data, and therefore the original data are recovered. According to the radar Doppler return signal data compression method, rapid Fourier transform and rapid inverse Fourier transform are adopted, the radar Doppler return signal data are compressed through analysis and processing of the radar Doppler return signals, the storage space is greatly reduced, the data transmission time is greatly shortened, the difficult problems existing in radar Doppler return signal data storage and transmission are solved, and the application prospect is good.
Description
Technical field
The present invention relates to a kind of RADOP echo signal data compression method.
Background technology
At present, in the RADOP Simulation of Echo Signal, the data volume of generation is huge, and storage, processing etc. are brought to very large difficulty.If the employing binary data storage, although can play the effect of some data compressions, compression ratio is comparatively limited, and for calculating the target video echo signal, because its data volume is very huge, so effect is very unobvious especially.
Prior art has been carried out to the retrieval of domestic and foreign databases, what retrieve, openly reached both at home and abroad the document that limited range delivers, retrieved two pieces of documents and materials.1) Li Yuqian, Pi Yiming. SAR compressing original data algorithm [J]. mapping, 2009,32 (2): P54-58.Paper, according to the characteristics of SAR initial data, has been introduced the compression algorithm of several original data of synthetic aperture radar, and the performance of several compression algorithms is compared to analysis, but has no RADOP echo signal data compression method.2) Wang Zhuan, remaining national literature, Chen Zaixing etc. radar target RCS data compression and reconstruct hardware implementation algorithm are analyzed [J]. radar institute of air force journal, 2012,26 (2): P90-93.The paper analysis for realizing radar target RCS data compression and reconstruct on hardware platform, analyzed theoretically the possibility that the RCS data compression algorithm is realized on hardware, and by the Matlab software emulation overall process that realizes of hardware algorithm, but have no RADOP echo signal data compression method.
In sum, the unexposed RADOP echo signal data of prior art compression method.
Summary of the invention
A kind of RADOP echo signal data compression method provided by the invention, reach obvious data compression effect, greatly reduced the transmission time of memory space and data, solved storage and the transmission difficult problem of RADOP echo signal data.
In order to achieve the above object, the invention provides a kind of RADOP echo signal data compression method, this data compression method comprises following steps:
Step 1, Fourier transform;
Initial data is carried out to Fourier FFT conversion, be about to the RADOP echo signal data and be transformed into frequency domain from time domain;
Extract the most concentrated data of RADOP echo-signal energy in the dominant frequency band, reject dominant frequency band scope data in addition;
Step 3, data are preserved;
The data of extracting in step 2 are saved in database;
Step 4, data reduction;
Adopt the zero padding method, the data length after making to extract is identical with initial data, for carrying out inverse Fourier transform, prepares;
Step 5, inverse Fourier transform;
Restoring data is carried out to inverse Fourier transform, be about to the RADOP echo signal data and be transformed into time domain from frequency domain, realize the recovery of data.
The present invention has following beneficial effect:
The present invention is applied to doppler echo signal data compression research field with Radar Signal Processing Technology, adopt fast Fourier transform and inverse fast Fourier transform, by the analyzing and processing to doppler echo signal, realized that the compression of RADOP echo signal data has greatly reduced the transmission time of memory space and data, solved storage and the transmission difficult problem of RADOP echo signal data, had a good application prospect.
The accompanying drawing explanation
Fig. 1 is flow chart of steps of the present invention;
Fig. 2 is the initial data oscillogram in embodiment;
Fig. 3 is the data waveform figure extracted after compression in embodiment;
Fig. 4 is the data waveform figure after recovering in embodiment.
Embodiment
Following according to Fig. 1～Fig. 4, illustrate preferred embodiment of the present invention.
As shown in Figure 1, this present invention provides a kind of RADOP echo signal data compression method, and this data compression method comprises following steps:
Step 1, Fourier transform;
Initial data is carried out to Fourier FFT conversion, be about to the RADOP echo signal data and be transformed into frequency domain from time domain, Fourier transform can realize the active data compression;
In frequency domain, the most concentrated data of RADOP echo-signal energy, be called dominant frequency band data, and the spectrum component of dominant frequency band also enriches the most;
Extract the data in the dominant frequency band, reject dominant frequency band scope data in addition, just can realize the extraction of useful data;
Step 3, data are preserved;
The data of extracting in step 2 are saved in database;
Step 4, data reduction;
Because the frequency domain data extracted can shorten, adopt the zero padding method, the data length after making to extract is identical with initial data, for carrying out the IFFT inverse Fourier transform, prepares;
Step 5, inverse Fourier transform;
Restoring data is carried out to inverse Fourier transform, be about to the RADOP echo signal data and be transformed into time domain from frequency domain, inverse Fourier transform can realize the recovery of data.
The present invention first transforms from the time domain in frequency domain the radar echo signal data, again the data in frequency domain are suitably processed, extract useful data, then carry out reverse data reduction, restoring data is carried out to inverse Fourier transform, the RADOP echo signal data is transformed into to frequency domain in time domain, reaches the purpose that data are recovered.
The initial data oscillogram that Fig. 2 is the RADOP echo-signal, first carry out the FFT conversion to initial data, and data are transformed from the time domain to frequency domain; Secondly the frequency domain data of signal carried out to analyzing and processing, extract the useful data in dominant frequency band scope from frequency domain, reject dominant frequency band scope data in addition.Its frequency range of the data that obtain is substantially between 0 ~ 2KHz, as shown in Figure 3; Again the useful data of extraction is saved in (according to its frequency range meeting difference of actual RADOP echo-signal, but the method for extracting is similar) in database.
If need to reduce to data, can adopt contrary step to realize.First frequency domain data is reduced to processing, after having rejected the extraneous data of dominant frequency band, frequency domain data can reduce, now can adopt the zero padding method, in frequency domain data back complement certificate, the data of benefit are 0, make the length of frequency domain data identical with initial data; Next adopts the IFFT converter technique, and signal data is transformed into to time domain from frequency domain, makes initial data be restored, as shown in Figure 4.
Comparison diagram 2 and Fig. 4, visible initial data curve is almost identical with recovering data and curves, also proves validity of the present invention simultaneously.
Adopt data compression method provided by the invention, realized the significantly compression of RADOP echo signal data.As the doppler echo signal data for 30M, after compression, can make data reduce to about 6M, compression ratio reach 20% or more than, greatly reduced transmission time of memory space and data.Meet the requirement of database to the data memory space fully.
Although content of the present invention has been done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to limitation of the present invention.After those skilled in the art have read foregoing, for multiple modification of the present invention with to substitute will be all apparent.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (1)
1. a RADOP echo signal data compression method, is characterized in that, this data compression method comprises following steps:
Step 1, Fourier transform;
Initial data is carried out to Fourier transform, be about to the RADOP echo signal data and be transformed into frequency domain from time domain;
Step 2, extraction data;
Extract the most concentrated data of RADOP echo-signal energy in the dominant frequency band, reject dominant frequency band scope data in addition;
Step 3, data are preserved;
The data of extracting in step 2 are saved in database;
Step 4, data reduction;
Adopt the zero padding method, the data length after making to extract is identical with initial data, for carrying out inverse Fourier transform, prepares;
Step 5, inverse Fourier transform;
Restoring data is carried out to inverse Fourier transform, be about to the RADOP echo signal data and be transformed into time domain from frequency domain, realize the recovery of data.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110187327A (en) * | 2019-04-30 | 2019-08-30 | 淮阴工学院 | The compression of Full wave shape laser radar waveform data and decompressing method |
| CN111476137A (en) * | 2020-04-01 | 2020-07-31 | 北京埃德尔黛威新技术有限公司 | Novel pipeline leakage early warning online correlation positioning data compression method and equipment |
| CN112615626A (en) * | 2020-12-16 | 2021-04-06 | 中油奥博(成都)科技有限公司 | DAS mass data frequency wave number domain data compression storage method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090254292A1 (en) * | 2006-11-29 | 2009-10-08 | Samplify Systems, Inc. | Frequency resolution using compression |
| CN101776747A (en) * | 2010-01-15 | 2010-07-14 | 山东大学 | Adaptive resampling-based radar signal compression method |
| CN102323575A (en) * | 2011-07-16 | 2012-01-18 | 西安电子科技大学 | Range migration correction method for pulse Doppler (PD) radar in feeble signal detection process |
-
2013
- 2013-09-24 CN CN2013104378645A patent/CN103475376A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090254292A1 (en) * | 2006-11-29 | 2009-10-08 | Samplify Systems, Inc. | Frequency resolution using compression |
| CN101776747A (en) * | 2010-01-15 | 2010-07-14 | 山东大学 | Adaptive resampling-based radar signal compression method |
| CN102323575A (en) * | 2011-07-16 | 2012-01-18 | 西安电子科技大学 | Range migration correction method for pulse Doppler (PD) radar in feeble signal detection process |
Non-Patent Citations (1)
| Title |
|---|
| 挥袖携云: "《浅谈傅里叶变换及其应用(小论文)》", 《HTTP://WENKU.BAIDU.COM/LINK?URL=CJT7O_R4HZNLK0OZIJNYZW6M2AU0ZJHZU4PBZVD_Y3FNS7RJNERE3YS_Z1VZZFB9U9WTITXFUWVWIVR5RSJA480YQ3MNFI7JP5WN-NZX3ZO》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110187327A (en) * | 2019-04-30 | 2019-08-30 | 淮阴工学院 | The compression of Full wave shape laser radar waveform data and decompressing method |
| CN110187327B (en) * | 2019-04-30 | 2023-07-21 | 淮阴工学院 | Full waveform laser radar waveform data compression and decompression method |
| CN111476137A (en) * | 2020-04-01 | 2020-07-31 | 北京埃德尔黛威新技术有限公司 | Novel pipeline leakage early warning online correlation positioning data compression method and equipment |
| CN111476137B (en) * | 2020-04-01 | 2023-08-01 | 北京埃德尔黛威新技术有限公司 | Novel pipeline leakage early warning online relevant positioning data compression method and device |
| CN112615626A (en) * | 2020-12-16 | 2021-04-06 | 中油奥博(成都)科技有限公司 | DAS mass data frequency wave number domain data compression storage method |
| CN112615626B (en) * | 2020-12-16 | 2022-07-01 | 中油奥博(成都)科技有限公司 | DAS mass data frequency wave number domain data compression storage method |
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