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Radial Velocity Distortion Reduction for NLFM-Based Radar System Using a Notch Filter

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International Conference on Intelligent Computing and Smart Communication 2019

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

This paper portrays a method for the reduction of distortion at the matched filter (MF) due to the velocity of the target. Linear frequency-modulated (LFM) signals are used for better range and velocity resolutions. However, LFM signals are not preferred when the velocity of the target is high due to large distortion at the MF output. Hence, nonlinear frequency modulated (NLFM) signals are used which are Doppler invariant. This paper suggests the simple method of improving the Doppler invariance property with a notch filter. In this paper, the NLFM considered for the analysis are of polynomial based and of orders from three to six. These polynomials are passed through a six-pole Butterworth notch filter having different fractional bandwidths. The center frequency of the notch filter has been selected as the frequency at which the maximum peak appears in the unfiltered signal spectrum. Doppler invariance properties for all these nonlinearity are compared with filtering using a notch filter. It is observed that the third-order nonlinearity with notch filtering is giving a much better reduction in the distortion of the MF output.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Solan, Waknaghat, 171001, India

    Ankur Thakur & Salman Raju Talluri

  2. Central Research Laboratory, Bharat Electronics Limited, Ghaziabad, India

    Sandeep Kumar

Authors
  1. Ankur Thakur
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  2. Salman Raju Talluri
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  3. Sandeep Kumar
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Corresponding author

Correspondence to Sandeep Kumar .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Gwalior, India

    Geetam Singh Tomar

  2. Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Narendra S. Chaudhari

  3. Applied Computing Graduate Program, University of Vale do Rio dos Sinos, Sao Leopoldo, Rio Grande do Sul, Brazil

    Jorge Luis V. Barbosa

  4. Department of Electronics and Communication Engineering, THDC-Institute of Hydropower Engineering and Technology, Tehri, Uttarakhand, India

    Mahesh Kumar Aghwariya

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Thakur, A., Talluri, S.R., Kumar, S. (2020). Radial Velocity Distortion Reduction for NLFM-Based Radar System Using a Notch Filter. In: Singh Tomar, G., Chaudhari, N.S., Barbosa, J.L.V., Aghwariya, M.K. (eds) International Conference on Intelligent Computing and Smart Communication 2019. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0633-8_65

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