Performance analysis on Lv distribution and its applications

Luo, Shan; Bi, Guoan; Lv, Xiaolei; Hu, Fengye

doi:10.1016/j.dsp.2012.11.011

Cited by 63 publications

(59 citation statements)

References 19 publications

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“…There are two differences between the two methods in [21] and in [22][23][24][25][26]. The first one is that the KT is not utilized in [22][23][24][25][26], and the other one is that the choice of the scaling factors is improved in [26], thus better performance is obtained under low SNR conditions. Compared with the RFT method, the ACCF method [22,23] can achieve similar performance with much lower computational cost.…”

Section: Introductionmentioning

confidence: 99%

“…The loss can be figured out to be small, which has little influences on estimation performance. According to equation (25), conjugate multiplication causes decrease in SNR, consequent to which the performance of the proposed method also suffers. However, since noise bandwidth of the stretched signal is reduced to be much smaller than that of the UR signal, the SNR of the stretched signal is higher than that of the UR signal.…”

Section: Performance Analysesmentioning

confidence: 99%

“…Then, a fast non-searching method based on ACCF is proposed for target motion estimation, target detection and ISAR imaging [22][23][24][25][26]. There are two differences between the two methods in [21] and in [22][23][24][25][26]. The first one is that the KT is not utilized in [22][23][24][25][26], and the other one is that the choice of the scaling factors is improved in [26], thus better performance is obtained under low SNR conditions.…”

Section: Introductionmentioning

confidence: 99%

“…In [21], a novel estimation algorithm of motion parameters is proposed for ISAR imaging, based on KT and the adjacent cross-correlation function (ACCF). Then, a fast non-searching method based on ACCF is proposed for target motion estimation, target detection and ISAR imaging [22][23][24][25][26]. There are two differences between the two methods in [21] and in [22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

Zhang¹,

Hong²,

Yang³

et al. 2017

Preprint

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Abstract:In wideband radar systems, the performance of motion parameters estimation can significantly affect the performance of object detection and the quality of inverse synthetic aperture radar (ISAR) imaging. Although the traditional motion parameters estimation methods can reduce the range migration (RM) and Doppler frequency migration (DFM) effects in ISAR imaging, the computational complexity is high. In this paper, we propose a new fast non-searching motion parameters estimation method based on cross-correlation of adjacent echoes (CCAE) for wideband LFM signals. A cross-correlation operation is carried out for two adjacent echo signals, then the motion parameters can be calculated by estimating the frequency of the correlation result. The proposed CCAE method can be applied directly to the stretching system, which is commonly adopted in wideband radar systems. Simulational results demonstrate that the new method can achieve better estimation performances, with much lower computational cost, compared with existing methods. The experimental results on real radar data sets are also evaluated to verify the effectiveness and superiority of the proposed method compared to the state-of-the-art existing methods.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Performance Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

Zhang¹,

Hong²,

Yang³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…However, the brute-force searching will require a complicated radar system and a high computational cost [OðMN log 2 NÞ], where M is the searching time and is always much larger than the number of echoes N in the high-resolution ISAR imaging application due to the high carrier frequency and the large frequency bandwidth. 11,27,28 In order to overcome the problems of the aforementioned algorithms, [15][16][17][18][19][20][21][22][23][24][25][26] the modified Wigner-Ville distribution and the Lv's distribution are proposed in Refs. 11 and 27, respectively.…”

Section: Introductionmentioning

confidence: 99%

Inverse synthetic aperture radar imaging of targets with nonsevere maneuverability based on the centroid frequency chirp rate distribution

Zheng

et al. 2015

J. Appl. Remote Sens

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Abstract. For inverse synthetic aperture radar (ISAR) imaging of targets with nonsevere maneuverability, the Doppler frequencies of scatterers are actually time-varying and azimuth echoes of a range cell have to be modeled as multicomponent linear frequency modulation (LFM) signals after the range alignment and the phase adjustment. In ISAR imaging with the LFM signal model, the chirp rate deteriorates the target image and an effective parameter estimation algorithm is required. By employing a symmetric instantaneous self-correlation function and the modified scaled Fourier transform, an effective parameter estimation algorithm, known as the centroid frequency chirp rate distribution (CFCRD), is proposed and applied to ISAR imaging. Compared to two representative parameter estimation algorithms, the modified Wigner-Ville distribution and the Lv's distribution, the proposed CFCRD can acquire a higher antinoise performance without spectrum aliasing and brute-force searching. Through simulations and analyses of the synthetic radar data and the real radar data, we verify the effectiveness of CFCRD and the corresponding ISAR imaging algorithm.

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A Keystone-Based Cosine Transform

Luo

Xiao

et al. 2016

Circuits Syst Signal Process

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Performance analysis on Lv distribution and its applications

Cited by 63 publications

References 19 publications

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

Inverse synthetic aperture radar imaging of targets with nonsevere maneuverability based on the centroid frequency chirp rate distribution

A Keystone-Based Cosine Transform

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