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Reconstruction of Signal using Interpolation01:10

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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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An Adaptive Transmitting Scheme for Interrupted Sampling Repeater Jamming Suppression.

Chao Zhou1,2, Feifeng Liu3,4, Quanhua Liu5,6

  • 1Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. ericzc1987@163.com.

Sensors (Basel, Switzerland)
|November 8, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive phase-coded signal scheme to counter interrupted sampling repeater jamming (ISRJ). The method optimizes waveforms to make jamming signals orthogonal to target echoes, enabling effective suppression.

Keywords:
adaptive transmittingdigital radio frequency memoryinterrupted sampling repeater jammingjamming perceptionradar waveform design

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Area of Science:

  • Radar Systems Engineering
  • Electronic Warfare
  • Signal Processing

Background:

  • Interrupted Sampling Repeater Jamming (ISRJ) using Digital Radio Frequency Memory (DRFM) poses a significant threat to modern radar systems.
  • ISRJ is a coherent jamming technique characterized by main-lobe interference, low power needs, and adjustable parameters.
  • Existing radar systems require effective countermeasures against advanced jamming methods like ISRJ.

Purpose of the Study:

  • To propose and validate an adaptive transmitting scheme for suppressing ISRJ.
  • To enhance radar's resilience against sophisticated electronic warfare threats.
  • To improve the performance of radar systems operating in jamming environments.

Main Methods:

  • Development of an adaptive transmitting scheme utilizing phase-coded signals.
  • Implementation of jamming perception for estimating ISRJ parameters.
  • Optimization of radar waveforms using a genetic algorithm for jamming signal orthogonality.
  • Utilizing pulse compression for suppressing the jammed signal.

Main Results:

  • The proposed scheme effectively suppresses ISRJ by making jamming signals orthogonal to target echoes.
  • Simulation results demonstrate significant improvements in radar performance metrics.
  • Achieved improvements of approximately 16 dB in Peak-to-Side-Lobe Ratio (PSR) and 15 dB in Integrated Side-Lobe Level (ISL) at a Jamming-to-Signal Ratio (JSR) of 13 dB.

Conclusions:

  • The adaptive phase-coded signal scheme is effective in mitigating ISRJ threats.
  • Waveform optimization through genetic algorithms enhances radar's ability to distinguish target echoes from jamming signals.
  • The proposed method offers a robust solution for improving radar performance in the presence of ISRJ.