Abstract:
The present invention relates to a time of arrival (TOA) method of amending the digital, multi-channel receiving device which can correct and reduce the number of TOA errors by the non-linearities characteristic of a high frequency device and a route group delay when producing personal defense weapon (PDW) through the multi-channel digital receiving device. Particularly, the present invention has an effect that the TOA of each channel can be easily amended as the correction value of the TOA calibration table is used in case the multi-channel digital receiving device for storing the TOA calibration table for calculating the TOA of the high frequency signal of the device producing the PDW through the test after the implementation according to each frequency, and the internal passage of the receiving channel and the received power of amending the TOA are comprised and are applied to the time and direction of arrival (TDOA) base location estimating system comprised of a single, multi-channel digital receiving device. [Reference numerals] (100) High frequency signal generation unit;(200) Divider (1:N);(30) High frequency reception unit;(31) Digital signal reception and measurement unit;(400) Correction device unit;(500) Test control unit;(AA,BB) N channel
Abstract:
PURPOSE: An apparatus and a method for recognizing radar signal modulation in pulses are provided to sort frequency modulation into linear frequency modulation and non-linear frequency modulation. CONSTITUTION: An apparatus and a method for recognizing radar signal modulation in pulses comprise following steps. Frequency modulation in pulses is sorted into linear frequency modulation (LFM) and non-linear frequency modulation (NLFM) (S310). If the frequency modulation is the linear frequency modulation, whether the detailed modulation of the linear frequency modulation is LFM chirp up modulation, LFM chirp down modulation, or LFM triangle modulation is determined (S320). If the frequency modulation is the non-linear frequency modulation, whether the detailed modulation of the non-linear frequency modulation is LFM-2 chirp up modulation, LFM-2 chirp down modulation, NLFM-3 chirp up modulation, NLFM-3 chirp down modulation, or sinusoid modulation is determined (S340, S350). [Reference numerals] (AA) Start; (BB,DD) Yes; (CC,EE) No; (FF) End; (S310) Does a triangle modulation of LFM exist?; (S320) Recognize the triangle modulation of LFM; (S330) Is the inclination signal of a template positive?; (S340) Recognize the up modulation of LFM; (S350) Recognize the down modulation of LFM
Abstract:
PURPOSE: A method and a device for extracting a radar signal jitter pulse repetition interval (PRI) pulse train using an adaptive histogram are provided to improve the detection accuracy of a radar signal in a high density multiple signal environment and to be applied to various electronic warfare systems necessary to be analyzed in signals. CONSTITUTION: A signal receiving part (10) comprises an antenna for sensing a radar signal. The signal receiving part processes the signal detected by the antenna and transmits the signal to a control part (20). The control part is classified into a histogram generation module (22), a candidate list setting module (24), a histogram extension module (25), an extraction threshold comparing module (26), and a jitter PRI pulse train extraction module (28). The histogram generation module generates a histogram using the difference between a set disparity and the time of arrival (TOA). The candidate list setting module selects a Bin which exceeds a pre-set candidate threshold among a histogram Bin and sets the Bin as a candidate list. The histogram extension module merges the histogram Bin in order to choose PRI for extraction using the candidate list. The extraction threshold comparing module compares the stored candidate list with the extracted threshold to determine whether to extract or not. The jitter PRI pulse train extraction module restarts the control operation by confirming the number of pulses remained after the extraction is greater than the jitter PRI pulse train accreditation number and increasing degree. [Reference numerals] (10) Receiving unit; (20) Control unit; (22) Histogram generation module; (24) Candidate list setting module; (25) Histogram expansion module; (26) Extraction threshold comparing module; (28) Jitter PRI pulse train extraction module
Abstract:
본 발명은 펄스반복주기 변조형태 인식방법 및 이를 적용하는 인식장치에 관한 것으로, 상기 변조형태 인식방법은, 수신된 레이더 신호로부터 시간순으로 정렬되는 펄스도착시간 정보를 검출하는 단계와, 상기 펄스도착시간 정보의 차분으로부터 펄스반복주기(Pulse Repetition Interval, PRI) 시퀀스를 생성하는 단계와, 상기 PRI 시퀀스에서 연속하는 항들의 차분을 이용하여 펄스반복주기 차분(Difference of PRIs, DPRI) 시퀀스를 생성하는 단계와, 상기 PRI 시퀀스 및 DPRI 시퀀스로부터 파티션 규칙(partition rule)을 이용하여 각각의 심벌 시퀀스들을 생성하는 단계, 및 상기 심벌 시퀀스들로부터 특징인자들을 연산하고 상기 특징인자들과 PRI 변조형태 구분을 위한 임계치들을 비교하여 상기 PRI 변조형태를 판단하는 단계를 포함한다. 이에 의하여 본 발명은 레이더 신호 식별 능력과 관련된 식별 변수인 PRI 변조형태 정보를 보다 정확하게 도출하게 된다.
Abstract:
본 발명은 GNSS동시관측 정보 및 정밀시각 프로토콜 정보를 이용하여 이격 운용되는 시스템의 시각을 단절없이 동기시키는 장치 및 방법에 관한 것으로, GNSS동시관측 정보를 이용하는 GNSS동시관측 정보모드에서 이격 운용 시스템간 시각동기를 맞추다가 GNSS신호 재밍 및 GNSS수신기의 고장이 발생되면 정밀시각프로토콜 정보를 이용하는 정밀시각프로토콜 정보모드로 전환하여 이격 운용 시스템간의 시각동기를 맞춤으로써 GNSS신호 재밍 및 GNSS수신기의 고장에 관게없이 이격 운용 시스템간의 시각동기를 연속적으로 맞출 수 있다.
Abstract:
PURPOSE: A radar modulation type identifying method using Gini's coefficient is provided to use a maximum likelihood (ML) classifier, thereby automatically identifying a radar modulation type. CONSTITUTION: A radar signal (S[k]) stored in a digital receiver is read (S200). A degree of unbalance in a frequency domain of the radar signal is quantified by a quantifying unit using Gini's coefficient (S210). A modulation type of the radar signal is identified by quantifying the degree of unbalance and using an ML classifier (S220). [Reference numerals] (S200) Read a radar signal (S[k]) stored in a digital receiver; (S210) Quantify a degree of unbalance in a frequency domain of the radar signal (s[k]) detected using Gini's coefficient which is a feature factor; (S220) Identify a modulation type of the radar signal (s[k]) detected by quantifying the degree of unbalance and using an ML classifier
Abstract:
PURPOSE: A radar scan type recognition method using feature factors is provided to recognize radar scan types by using pulse amplitude information in accordance with pulse arrival time of detected radar signals. CONSTITUTION: Pulse amplitude information is generated according to pulse arrival time to classify received or measured radar signals into scan types, and feature factors R1, R2, and R3, representing signal concentration in time domain are calculated(S110). The R1 and a corresponding threshold value are compared(S121), the R2 and a corresponding threshold value are compared(S122), and the R3 and a corresponding threshold value are compared(S123). Detailed scan type classification for search radar signals or tracking radar signals is performed(S130,S140). [Reference numerals] (AA) Start; (BB) End; (S110) R1, R2, R3 calculation; (S130) Tracking radar classification; (S140) Search radar classification