New Side Lobe Cancellation Method of Linear Frequency Modulated Radar Signals
Sameh G. Salem
Sameh G. Salem: Lecturer, Egyptian Academy for Engineering & Advanced Technology (EAEAT), Cairo, Egypt.
Manuscript received on January 13, 2020. | Revised Manuscript received on January 24, 2020. | Manuscript published on February 10, 2020. | PP: 1275-1279 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1410029420/2020©BEIESP | DOI: 10.35940/ijitee.D1410.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Pulse Compression (PC) technique has many advantages in signal processing of radar systems which enhances the radar performance. For a long pulse, the range detection capability can be increased with PC while maintain the advantage of resolution in range for uncompressed pulse. There are many PC techniques such as Binary and Linear Frequency Modulation (LFM) Codes, which can be utilize in radar. The radar detection performance is affected by unwanted signals, which called side lobes that may mask the weaker useful signals, which are present near to strong signals. Pulse compression that uses LFM code is discussed and contrasted with matched filter keep tracked of Hamming windowing filter technique to eliminate the level effect of side lobes. In the present paper, a proposed optimum filter is introduced to enhance both the radar detection capability and resolution in range. The proposed optimum filter representation is evaluated and compared with the classical matched filter response associated with Hamming windowing filter according to the representation of radar detection through Receiver Operating Characteristics (ROC) curves and resolution performance.
Keywords: Pulse Compression, LFM Signal, Optimum filter, Range Resolution, Side lobe Cancellation.
Scope of the Article: Frequency selective surface