Pulse compression using linear frequency modulation technique

Arya, Vivek; Subha, V. S.

doi:10.1109/icicict1.2017.8342688

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…The Doppler frequency fd caused by a moving target from a stationary observation point is calculated by (3) where the carrier frequency is fc and the object velocity is in the shorthand of Vel.…”

Section: Ambiguity Function Of Lfm Waveformmentioning

confidence: 99%

“…The range offset is proportional to the amount of the Doppler shift (Δfd). The range offset of convolution is linearly proportional to the moving object Δfd or Δν, which can be converted by Equation (3). The range offset changing rate is higher with the steeper chirping slope (pulse width (PW) = τ, orange-squared line) than the flatter chirping slope, PW = 2τ, LFM waveform (blue circle) under the same Δfd.…”

Section: Range Velocity Estimation By Offset Of Lfm Waveformmentioning

confidence: 99%

“…The range offset changing rate is higher with the steeper chirping slope (pulse width (PW) = τ, orange-squared line) than the flatter chirping slope, PW = 2τ, LFM waveform (blue circle) under the same Δfd. Due to the linearity of a single chirp, the target velocity The range offset of convolution is linearly proportional to the moving object ∆f d or ∆ν, which can be converted by Equation (3). The range offset changing rate is higher with the steeper chirping slope (pulse width (PW) = τ, orange-squared line) than the flatter chirping slope, PW = 2τ, LFM waveform (blue circle) under the same ∆f d .…”

Section: Range Velocity Estimation By Offset Of Lfm Waveformmentioning

confidence: 99%

“…In [ 2 ], a new design of fast measurement to a linear frequency modulation is presented based on a linear amplitude comparison function that can ensure the accuracy of the measurement of multiple parameters. A study [ 3 ] verified the design of moving objects utilizing pulse compression technique and matched filter algorithm in linear frequency modulation in tracking the launch vehicle to follow the predetermined path or not. In [ 4 ], an 8 mm-range Gunn-diode oscillator was used in the experiment when the autodyne signal period duration was much longer than the delay time.…”

Section: Introductionmentioning

confidence: 99%

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Innovative Multi-Target Estimating with Clutter-Suppression Technique for Pulsed Radar Systems

Nieh

Cheng

2020

Sensors

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Linear frequency modulation (LFM) waveforms have high Doppler-shift endurance because of the relative wide modulation bandwidth to the Doppler variation. The Doppler shift of the moving objects, nevertheless, constantly introduces obscure detection range offsets despite the exceptional Doppler tolerance in detection energy loss from LFM. An up-down-chirped LFM waveform is an efficient scheme to resolve the true target location and velocity by averaging the detection offset of two detection pairs from each single chirp LFM in opposite slopes. However, in multiple velocity-vary-target scenarios, without an efficient grouping scheme to find the detection pair of each moving target, the ambiguous detection results confine the applicability of precise target estimation by using these Doppler-tolerated waveforms. A succinct, three-multi-Doppler-shift-compensation (MDSC) scheme is applied to resolve the range and velocity of two moving objects by sorting the correct LFM detection pair of each target, even though the unresolvable scenarios of two close-by targets imply a fatal disability of detecting objects under a cluttered background. An innovative clutter-suppressed multi-Doppler-shift compensation (CS-MDSC) scheme is introduced in this research to compensate for the critical insufficient of resolving two overlapping objects with different velocities by solely MDSC. The CS-MDSC has been shown to successfully overcome this ambiguous scenario by integrating Doppler-selective moving target indication (MTI) filters to mitigate the distorting of near-zero-Doppler objects.

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Section: Ambiguity Function Of Lfm Waveformmentioning

confidence: 99%

Section: Range Velocity Estimation By Offset Of Lfm Waveformmentioning

confidence: 99%

Section: Range Velocity Estimation By Offset Of Lfm Waveformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Innovative Multi-Target Estimating with Clutter-Suppression Technique for Pulsed Radar Systems

Nieh

Cheng

2020

Sensors

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“…A complex high-resolution range profile (HRRP) is the coherent summations of complex echoes from target scatterers in the range cells 1 . The complex HRRPs of ships can be acquired by high-resolution radars, which commonly transmit a linear frequency-modulated (LFM) signal with a large time-bandwidth product, and obtain high range resolution through the pulse compression technique 2 , solving the conflict between the radar detection range and range resolution 3 . However, the pulse compression technique brings a serious defect while achieving high range resolution, namely the range sidelobe effect 4 .…”

Section: Introductionmentioning

confidence: 99%

An efficient method for estimating complex high-resolution range profiles of ships

Su,

Shui,

2024

Fifteenth International Conference on Signal Processing Systems (ICSPS 2023)

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High-resolution range profiles (HRRPs) of ships are significant for ship classification and recognition, sparse recovery methods are a major tool to attain ship HRRPs from high-resolution radar echoes. Aiming at the problem that complex HRRPs of ships are not finely modeled in the sparse recovery via iterative minimization (SRIM) method, this paper proposes a new SRIM method to estimate complex HRRPs of ships from radar echoes corrupted by non-Gaussian sea clutter. In the new SRIM method, ship HRRPs are modeled by a bi-parametric lognormal distribution (LND), and high-resolution sea clutter is characterized by the compound-Gaussian distribution with inverse Gaussian texture (CG-IG). The new SRIM method is compared with the classic sparse learning via iterative minimization (SLIM) method, the linear programming-based (LP-based) method, and the recent SRIM method by adopting simulated and measured radar data, the experimental results show that the new SRIM method effectively reduces the central processing unit (CPU) time of ship HRRP estimation while attaining better performance than the existing methods.

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Non-linear frequency estimation by non-linear estimator

Jafar¹,

Abdulsadda²

2023

1st International Conference on Achieving the Sustainable Development Goals

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Pulse compression using linear frequency modulation technique

Cited by 11 publications

References 3 publications

Innovative Multi-Target Estimating with Clutter-Suppression Technique for Pulsed Radar Systems

Innovative Multi-Target Estimating with Clutter-Suppression Technique for Pulsed Radar Systems

An efficient method for estimating complex high-resolution range profiles of ships

Non-linear frequency estimation by non-linear estimator

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