Enhancement of Matched Filter Response for Chirp Radar Signals using Signal Recovery Technique
Sameh G. Salem

Sameh G. Salem, Egyptian Academy for Engineering and Advanced Technology (EAE&AT), Cairo, Egypt.

Manuscript received on November 12, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 561-565 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6523129219/2019©BEIESP | DOI: 10.35940/ijitee.B6523.129219
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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: The matched filter is one among many effective techniques used to maximize the signal –to- noise ratio (SNR) of chirp radar signals. Besides this enhancement in SNR, it has a drawback due to sidelobe levels which degrade the filter response. There are many additional techniques which reduce these levels such as window techniques and inverse filter. In this paper, a new approach is utilized to completely cancel the level of matched filter side lobes based on the signal recovery of the compressive sensing (CS) theory. The reconstruction process of CS is based on the CAMP algorithm which applied to the response of the matched filter. The recovered chirp radar signals are achieved with completely side lobes cancellation compared to the traditional side lobe reduction technique based on the widow method. The comparison between the proposed and traditional methods is achieved according to the detection performance using Receiver Operating Characteristic (ROC) curve. Besides the detection performance, a resolution in the range is another comparison aspect between these algorithms. 
Keywords: Pulse Compression, Matched Filter, Chirp signals, Sidelobe levels, Compressive Sensing, Recovery CAMP algorithm.
Scope of the Article: Digital Signal Processing Theory