Waveform Optimization for Compressive Sensing Radar Systems
نویسندگان
چکیده
Compressive sensing (CS) provides a new paradigm in data acquisition and signal processing for radar. In this work, we investigate the performance of several deterministic waveforms for the basic problem of range-only estimation in CS-radar system. We investigate the effects of a digital RF system from signal generation at the transmitter, to sparse signal recovery at the receiver, on the incoherence of the received signal. We demonstrate the capabilities of CS-radar versus the conventional pulse compression radar.
منابع مشابه
Waveform Design using Second Order Cone Programming in Radar Systems
Transmit waveform design is one of the most important problems in active sensing and communication systems. This problem, due to the complexity and non-convexity, has been always the main topic of many papers for the decades. However, still an optimal solution which guarantees a global minimum for this multi-variable optimization problem is not found. In this paper, we propose an attracting met...
متن کاملCompressive Sensing Meets Noise Radar
In this chapter, we discuss how noise radar systems are suitable for realizing practically the promises of compressive sensing in radar imaging, in general, and in urban-sensing applications, in particular. Noise radar refers to radio frequency imaging systems that employ transmit signals that are generated to resemble random noise waveforms. Noise radar has recently been successfully applied t...
متن کاملSpread Spectrum Code Design for MIMO Radar Estimation Using Compressive Sensing Modeling
We consider the problem of multipletarget estimation using a collocated multiple-input multiple-output (MIMO) radar system. We employ sparse modeling to estimate the unknown target parameters (delay, Doppler) using a MIMO radar system that transmits frequencyhopping waveforms. We formulate the measurement model using a block sparse representation. We adaptively design the transmit waveform para...
متن کاملRecovery guarantees for multifrequency chirp waveforms in compressed radar sensing
Radar imaging systems transmit modulated wideband waveform to achieve high range resolution resulting in high sampling rates at the receiver proportional to the bandwidth of the transmit waveform. Analog processing techniques can be used on receive to reduce the number of measurements to N , the number of potential delay bins. If the scene interrogated by the radar is assumed to be sparse consi...
متن کاملCompressive Sensing Based Parameter Esti- Mation for Monostatic Mimo Noise Radar
The novelty of this letter is that it capitalizes on noise waveform to construct measurement operator at the transmitter and presents a new method of how the analogue to digital converter (ADC) sampling rate in the monostatic multiple-input multiple-output (MIMO) noise radar can be reduced — without reduction in waveform bandwidth — through the use of compressive sensing (CS). The proposed meth...
متن کامل