Range Alignment and Motion Compensation for Missile-Borne Frequency Stepped Chirp Radar

Liu, Bo; Chang, Wenge

doi:10.2528/pier12110809

Cited by 12 publications

(8 citation statements)

References 29 publications

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“…Additionally, the radial velocity between the missile-borne radar platform and the target results in range migration between the echo pulses during a CPI, which may produce detrimental effect on the coherent integration. In practical application, the effect from the time-frequency coupling and the range migration could be restricted at utmost by radar parameters design, or it could be solved by motion compensation method [13]. Here we assume that the effect on the target echoes resulted from the high speed motion of the radar platform has been properly removed.…”

Section: Radar Echo Modelmentioning

confidence: 99%

Research on Vessel and Chaff Echo Characteristics for Wideband Coherent Radar

Liu¹,

Chang²

2013

PIER C

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Abstract-To study effective anti-chaff jamming methods, this paper investigates the echo characteristics of the vessel and the chaff for missile-borne wideband coherent radars. Firstly, the echo model of the missile-borne wideband coherent LFM pulses radar is built, and the range-Doppler image of the echoes is derived. Based on the measured data, the differences of the echoes between the vessel and the chaff are analyzed. Then in terms of the spread feature and energy evenness of the range-Doppler image, two features of the radar echoes are proposed to distinguish the vessel and chaff. Finally, statistical distributions of the two features are investigated, and we find that the proposed features can be used for chaff jamming identification and suppression.

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Section: Radar Echo Modelmentioning

confidence: 99%

Research on Vessel and Chaff Echo Characteristics for Wideband Coherent Radar

Liu¹,

Chang²

2013

PIER C

Self Cite

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“…Since the bulk MOCO has been researched a lot in [18][19][20][21][22][23][24][25][26], here it is only simply mentioned for deriving the following residual error discussion.…”

Section: Principle Of the Bulk Mocomentioning

confidence: 99%

“…Assuming that the motion error is known as a priori information, then the next step is to compensate the errors; based on some previous researches on this topic [18][19][20][21][22][23][24][25][26], a widely used algorithm is bulk MOCO. The algorithm is implemented in two steps to compensate the range-independent and range-dependent motion errors respectively [27].…”

Section: Introductionmentioning

confidence: 99%

Along-Track Motion Compensation for Strip-Map Sar Based on Resampling

Ma¹,

Bai²,

Liang³

et al. 2014

PIER M

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Abstract-The airborne or vehicle-based SARs are very vulnerable to the influences of airflows or road conditions so as to deviate from the predicted trajectory, which undermines the uniformity of the azimuth sampling. As a result, the SAR image quality can get impaired in varying degrees. Since the SAR systems are sensible to the track deviation, the motion compensation (MOCO) algorithms are always applied as pre-processing of SAR raw data. In this paper, mainly with regard to the motion error caused by the forward velocity variation, a 'resampling MOCO' algorithm is proposed as an auxiliary of the widely used bulk MOCO. The simulation result has verified that the performance of the fundamental bulk MOCO algorithm is greatly improved utilizing the proposed method.

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“…This is because conventional ISAR imaging with the Fourier transform (FT) cannot show how frequency components vary with time. For better performance of ISAR imaging in radar target recognition, the smeared ISAR image needs to be focused by compensating for the target motion, which is also called as the ISAR motion compensation [10][11][12][13][14]. Recently, time-frequency transforms (TFTs) have been widely employed in order to effectively reflect the time-dependent characteristic of the Doppler frequency [15][16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Enhanced and Efficient Isar Image Focusing Using the Discrete Gabor Representation in an Oversampling Scheme

Park¹,

Myung²

2013

PIER

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Abstract-Inverse synthetic aperture radar (ISAR) imaging is one of the most well-known techniques of radar target recognition. One of the most important issues in ISAR imaging is the improvement of the image smeared by a moving target. In this paper, we propose the discrete Gabor representation (DGR) in an oversampling scheme as an effective means of obtaining a well-focused ISAR image with a short calculation time. In contrast to other linear time-frequency transforms (TFTs), the DGR obtains Gabor coefficients using the analysis window frames derived from the clearly defined Gaussian-type synthesis window. The oversampling scheme of the DGR leads to accurate calculations of the Gabor coefficients, which denote signal timefrequency amplitude. Since each Gabor coefficient is compartmentally assigned to the associated unit cell of the time-frequency grid, the DGR can show an excellent time-frequency concentration and can effectively discriminate the Doppler components of prominent pointscatterers. The application results demonstrate that the DGR not only has enhanced focusing performance but also retains computational efficiency. The DGR in the oversampling scheme is expected to facilitate high-quality ISAR imaging in radar target recognition.

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Range Alignment and Motion Compensation for Missile-Borne Frequency Stepped Chirp Radar

Cited by 12 publications

References 29 publications

Research on Vessel and Chaff Echo Characteristics for Wideband Coherent Radar

Research on Vessel and Chaff Echo Characteristics for Wideband Coherent Radar

Along-Track Motion Compensation for Strip-Map Sar Based on Resampling

Enhanced and Efficient Isar Image Focusing Using the Discrete Gabor Representation in an Oversampling Scheme

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