Joint Time-Frequency Analysis of Radar Micro-Doppler Signatures from Aircraft Engine Models

Lim, Hyun Suk; Park, J. H.; Yoo, Ji Hee; Kim, C. H.; Kwon, Kyoung-Il; Myung, Noh‐Hoon

doi:10.1163/156939311795762006

Cited by 22 publications

(28 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The chopping rate [6,11], the period when a blade moves to its neighbor position, can be calculated as 0.435 ms. The blade length is estimated using the Doppler span [8,10,11] along the frequency axis. The slanted waveforms marked with white lines suggest the odd number of blades for which the blades alternately approach and recede [8].…”

Section: Extraction Of Jem Componentmentioning

confidence: 99%

“…By high range resolution, the information on the aircraft structure can be obtained from the HRRP. With high frequency resolution, the JEM [6][7][8][9][10][11], one of the microDoppler phenomena induced by a rotating jet engine compressor, can show its unique spectrum affected by several characteristics of the jet engine. Thus, an HRRP-JEM image composed of range and frequency axes is considered as an independent means for radar target recognition by localizing the equipped jet engine installed on the aircraft [5,6,12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Extended High Resolution Range Profile-Jet Engine Modulation Analysis With Signal Eccentricity

Park¹,

Yang²,

Bae³

et al. 2013

PIER

View full text Add to dashboard Cite

Abstract-In this paper, high resolution range profile-jet engine modulation (HRRP-JEM) analysis is extended by including quantitative estimation of the jet engine location and extraction of the JEM microDoppler component. Based on a parametric model of the range cell data, signal eccentricity was introduced for the purpose of determining the jet engine location. Then, complex empirical mode decomposition (CEMD) was employed to extract the embedded JEM component. The signal eccentricity also served as an auxiliary means of CEMD-based micro-Doppler extraction. Application to the simulated HRRP-JEM data demonstrated that the analysis results described in this paper could be useful for advanced radar target recognition with HRRP-JEM.

show abstract

Section: Extraction Of Jem Componentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extended High Resolution Range Profile-Jet Engine Modulation Analysis With Signal Eccentricity

Park¹,

Yang²,

Bae³

et al. 2013

PIER

View full text Add to dashboard Cite

show abstract

“…High-frequency methods invoke many approximations to make the equations of scattering problems tractable; therefore, these methods have an advantage over low-frequency methods when calculating RCS of objects that are electrically large [15]. Among them, shooting and bouncing rays (SBR) has been introduced [16][17][18] to account for multiple reflections in a partiallyopen cavity. An open-ended cavity can be analyzed efficiently using SBR, but it has a fundamental error because it is based on the rays at far fields [8].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Iterative Physical Optics Using Previous Information to Guide Initial Guess

Chin¹,

Yeom²,

Kim

et al. 2012

PIER

View full text Add to dashboard Cite

Abstract-We propose an improved method of iterative physical optics (IPO) to analyze electromagnetic scattering by open-ended cavities.The traditional IPO method uses a fixed number of iterations; if this number is too small, the accuracy of the estimated monostatic radar cross section (RCS) of open-ended cavities degrades as the incident angle of the incident field increases. The recentlyintroduced adaptive iterative physical optics-change rate (AIPO-CR) method uses a variable number of iterations; compared to the IPO method, it predicts monostatic RCS more accurately, but requires more computation time. In this paper, a new algorithm is devised to improve both the monostatic RCS prediction accuracy of the IPO method, and the computational efficiency of the AIPO-CR method. The proposed method, iterative physical optics-retained previous solution (IPO-RPS), calculates the currents at one incident angle, then reuses them as the initial currents of iterations for the next incident angle. In simulations of the monostatic RCS for various open-ended cavities, the IPO-RPS method was more accurate than the traditional IPO method, and computationally more efficient than both the IPO and AIPO-CR methods.

show abstract

“…으로부터 산란되어 레이더 신호의 주파수 및 위상에 변 조를 일으키는 현상으로서, 도플러 주파수가 시간에 따라 변화하는 마이크로 도플러의 특성을 갖는다 [1], [2] . 이러한 JEM의 특성에는 제트엔진의 구조 및 회전정보가 반영되 므로, 이를 통해 회전속도, 날개개수와 같은 항공기에 탑 재된 제트엔진의 고유한 정보를 획득할 수 있다.…”

unclassified

“…이는 제트엔진 터빈 날개(blade)가 제트엔진의 외벽에 둘러싸인 채 흡입구(intake)의 내부에 위치하기 때문이다. 기존의 JEM 신호처리에 관한 연구 [2], [4] 에서는 JEM의 선 스펙트럼이 비교적 명확히 관측될 만큼 충분한 진폭을 갖는다고 가정하였다. 그러나 여기서는 JEM이 미약하게 관측되는 범위에서 JEM 성분의 최대 진폭이 body 성분의 진폭에 비해 -15 dB 이상 작은 상황을 가정한다.…”

unclassified

Extraction of the JEM Component in the Observation Range of Weakly Present JEM Based on Complex EMD

Park¹,

Yang²,

Bae³

et al. 2014

The Journal of Korean Institute of Electromagnetic Engineering

View full text Add to dashboard Cite

Jet engine modulation(JEM) is a frequency modulation phenomenon of the radar signal induced by electromagnetic scattering from a rotating jet engine turbine. Although JEM can be used as a representative radar target recognition method by providing unique information on the target, its recognition performance may be degraded in the observation range of weakly present JEM. Hence, this paper presents a method for extracting the JEM component by decomposing the radar signal into intrisic mode functions(IMFs) via complex empirical mode decomposition(CEMD) and by combining them based on signal eccentricity. Its application to various signals demonstrated that the proposed method improved the clarity of JEM analysis and could extend the effective observation range of JEM.

show abstract

Joint Time-Frequency Analysis of Radar Micro-Doppler Signatures from Aircraft Engine Models

Cited by 22 publications

References 14 publications

Extended High Resolution Range Profile-Jet Engine Modulation Analysis With Signal Eccentricity

Extended High Resolution Range Profile-Jet Engine Modulation Analysis With Signal Eccentricity

Improvement of Iterative Physical Optics Using Previous Information to Guide Initial Guess

Extraction of the JEM Component in the Observation Range of Weakly Present JEM Based on Complex EMD

Contact Info

Product

Resources

About