Sidelobe suppression on pulse compression using curve-shaped nonlinear frequency modulation

Rohman, Budiman P.A.; Ratna, Indrawijaya; Kurniawan, Dayat; Heriana, Octa; Wael, Chaeriah Bin Ali

doi:10.1109/icitisee.2016.7803046

Cited by 6 publications

(7 citation statements)

References 7 publications

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“…For determining LFM waveform, the design parameters are bandwidth, pulse duration and frequency center. A constant factor, instantaneous phases, instantaneous frequency and LFM waveforms can be calculated respectively in (2) until (5) [6]:…”

Section: A Linear Frequency Modulation (Lfm)mentioning

confidence: 99%

“…In (6) and 7, B is signal bandwidth (Hz), τ is pulse duration (s), t is time duration (s), B 0 is bandwidth 0 (Hz), B 1 is bandwidth 1 (Hz), B 2 is bandwidth 2 (Hz), T 0 is time 0 (second), T 1 is time 1 (second), T 2 is time 2 (second), is the instantaneous frequency of TSPW and is the instantaneous phase of TSPW. In (8), is the complex signal of TSPW.…”

Section: B Non Linear Frequency Modulation (Nlfm)mentioning

confidence: 99%

“…The waveform design of pulse compression is usually using frequency or phase modulation [5]. LFM is pulse compression type which is commonly used in current radar systems because of its simplicity and Doppler tolerant [6]. However, this method has a drawback in its high sidelobe level, the matched-filtered response of this waveform has a peak sidelobe level about -13dB from the mainlobe level [7]- [9].…”

mentioning

confidence: 99%

“…However, this method has a drawback in its high sidelobe level, the matched-filtered response of this waveform has a peak sidelobe level about -13dB from the mainlobe level [7]- [9]. The high PSL decreases the radar detectability especially on the weak echoes of the target [6]. One of the solutions to reduce sidelobe level of LFM is required weighting function for pulse compression.…”

mentioning

confidence: 99%

“…Hamming, Kaiser and Chebyshev are the weighting function that can reduce the sidelobe level of pulse compression but it will reduce the parameter of SNR [10]. NLFM is another pulse compression technique to overcome this lack [6], [7], [9], [11]. NLFM waveforms can achieve the good range resolution and at the same time has low PSL without additional windowing.…”

mentioning

confidence: 99%

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Analysis of Non Linear Frequency Modulation (NLFM) Waveforms for Pulse Compression Radar

Widyantara

Sugihartono

Suratman

et al. 2018

indones.j.electron.telecommun.

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Non Linear Frequency Modulation (NLFM) method can suppress the peak sidelobe level without additional windowing function. NLFM doesn’t require any weighting function because it has inbuilt one. NLFM has a variable frequency deviation function due to the relation between frequency and time of the signal which is not linear so that it is possible to suppress of peak sidelobe level. This paper studies the characteristic of various NLFM waveform, such as NLFM Tri Stage Piece Wise (TSPW), NLFM S, and NLFM Taylor. The study of Pulse Compression of NLFM waveform consists of three aspects. First, analysis of pulse compression performance. Second, analysis of background noise. Last, analysis of Doppler effects. The simulation is done using Matlab software. The lowest value Peak Sidelobe Level (PSL)of NLFM TSPW is about -20 dB while NLFM S and NLFM Taylor are about -32 dB and -39 dB. Additive White Gaussian Noise (AWGN) and Doppler Effect influenced the value of PSL for each NLFM waveform. NLFM Taylor has the best NLFM waveform when the Doppler Effect and AWGN cause the value of PSL become high. Comparison between NLFM Taylor and Linear Frequency Modulation(LFM) is done in radar surveillance applications to analyze the detectability performance where the condition of Radar Cross Section (RCS) for each target has different significant value. The three targets are commercial airplanes, helicopter and fighter. For detectability performance, NLFM Taylor can detect more clearly than LFM conventional.

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Section: A Linear Frequency Modulation (Lfm)mentioning

confidence: 99%

Section: B Non Linear Frequency Modulation (Nlfm)mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Analysis of Non Linear Frequency Modulation (NLFM) Waveforms for Pulse Compression Radar

Widyantara

Sugihartono

Suratman

et al. 2018

indones.j.electron.telecommun.

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Radar waveform diversity using nonlinear chirp with improved sidelobe level performance

Roy

Nemade

Bhattacharjee

2021

AEU - International Journal of Electronics and Communications

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Effective reduction of sidelobes in pulse compression radars using NLFM signal processing approaches

Selim,

Mabrouk,

Elsherif

et al. 2023

J. Phys.: Conf. Ser.

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Pulse compression techniques are widely used in modern radar systems to enhance range resolution and detection capability. As signal design is one of the basic factors of an efficient radar system, the problem of designing a radar signal with good characteristics using pulse compression is addressed in this paper. A linear frequency modulated (LFM) waveform has been widely used for conventional radars. However, it has a higher sidelobe level which makes the detection of weak targets very difficult in presence of strong targets returns and as a result the problem of masking occurs. In order to get suppressed sidelobes of radar matched filter output as well as preserve the main lobe resolution and level to overcome the problem of masking, nonlinear frequency modulated (NLFM) signals are used in modern radars. In this paper, we will introduce two different approaches to design an optimized NLFM signal which is characterized by optimized sidelobe level (SLL). The first is the exponential piecewise linear function (EPWL) which is the modification of piecewise linear (PWL) functions relying on an exponential predistortioning function. The second is the odd-term polynomial approximation (OTPA) in which the generation of NLFM signal depends only on odd-powered terms of the polynomial function. Furthermore, the simulation results of autocorrelation functions (ACF) of the proposed signals show its superiority over the traditional LFM signals and significantly enhancement compared to the recent background work. The Doppler sensitivity of the designed signals has been evaluated, revealing that the first approach offers Doppler tolerance and is suitable for surveillance radar systems, while the second approach with a lower sidelobe level is used in applications such as Synthetic Aperture Radar (SAR). Finally, the ambiguity function of the designed signals has been measured to illustrate the effect of the Doppler effect relative to different velocities.

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Sidelobe suppression on pulse compression using curve-shaped nonlinear frequency modulation

Cited by 6 publications

References 7 publications

Analysis of Non Linear Frequency Modulation (NLFM) Waveforms for Pulse Compression Radar

Analysis of Non Linear Frequency Modulation (NLFM) Waveforms for Pulse Compression Radar

Radar waveform diversity using nonlinear chirp with improved sidelobe level performance

Effective reduction of sidelobes in pulse compression radars using NLFM signal processing approaches

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