Robust Waveform Design and Analysis of Active Radar for the Detection of Target

• Published in: 2018 2nd International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE) pp. 250 - 254
• Main Authors: S.P., Muthukumar, R., Gandhiraj, G., Shanmuga Sundaram
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2018
• Subjects: Clutter; Frequency modulation; Probability-of-detection;-Robust-I; Radar antennas; Radar detection; Signal to noise ratio; Stepped-FM-waveform;-SINR;-Interference-Covariance-Matrices;-Constant-false-alarm-rate(CFAR)
• DOI: 10.1109/ICMETE.2018.00062

This paper illustrates how, the evaluation of robust properties for transmitted waveform by worst case detection analysis and performance for target detection in the existence of clutter and noise. Here, Stepped FM waveform is considered for waveform design and analysis. Its design and analysis can be achieved through simulink blocks and these blocks contains various numerical parameters through which the waveform can be generated. Evaluation of the robustness of the waveform can be determined using Waveform Co-variance Matrices(WCM) and Interference Covariance Matrix(ICM) over a uncertainty region. Derivation of this , will technically intimate the property of robustness for the generated waveform structure. These techniques involves certain parameters such as SINR(Signal to Noise Ratio), probability of detection and transmitted energy to address the optimal evaluation of receiver operating characteristics by representing the curves. The waveform's robustivity can be observed through these curves. Based on this, the Constant false alarm rate(CFAR) can be determined, which is the application of sequential target detection and estimation.