An Efficient Processing Architecture for Range Profiling Using Noise Radar Technology

Abstract

Abstract:The importance of high resolution range profiles (HRRPs) for radar applications like tracking or classification is well known. In the scientific literature several approaches have been investigated to obtain HRRPs from wideband radar signals. Recent works show that noise radar waveforms can be exploited in this sense due to their high resolution and low peak to sidelobe ratio (PSLR) properties. However their use can cause some issues in applications where long time integrations are required, e.g., in the presence of a low effective radiated power (ERP) transmitter: recording the reference signal in this case would be difficult due to the big quantity of data. This work proposes a real time digital processing schematic based on linear feedback shift registers (LFSRs) which is very flexible and has a low computational burden: its internal state can be easily controlled and reproduced in reception, where a multichannel correlator is exploited as matched filter. The resulting signal, compared to typical "pulse compression" and noise radar waveforms, shows similar performances but a lower order of complexity in terms of real time generation and reception.

Long-Range Entangled Quantum Noise Radar Over Order of Kilometer

“…In direct detection radars, the returned signal can be easily masked by any noise source or unwanted reflected waveform into the receiver. Thanks to the correlation, in noise radars [9]- [12], one can extract and recognize the desired signal from noises by correlating the returned transmittedsignal with the reference signal, the so-called idler, at the receiver (for more information see Refs. [33], [40]).…”

“…Let us back to QI radar range equation formalism. According to the definition of the Pearson correlation coefficient ρ given in (12), for the TMSV state one can easily show that [47]…”

“…However, their operation is easily failed by unwanted signals like environmental thermal noise and other sources of microwave signals at the same frequency. To facilitate the recognition of unwanted signals from radar signals that bounced off from the target, engineers proposed to keep a record of the transmitted signal as a reference, and then compare the received signal with this reference (idler) [9]- [12]. In these radars, usually known as noise radars, the correlation between the received signal and the idler is the detector function of the detection system.…”