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4.5 Radar signal processing. Traditionally the radar signal is processed by a 3D FFT operation to detect the position and velocity of the objects. Almost always, the number of radar cells affected by a target is much less than the total number of cells. This means the radar signal is sparse.
The idea of warped TFA has been employed for multipath radar signal processing in over-the-horizon radar (OTHR). Ioana et al. [50] combined the warping transform and the third-order ambiguity function to resolve the closely spaced time-frequency components. It provided an improved multi-component estimation of nonlinear Doppler signature for ...
Signal processing in the GPR area exploits many of the advances achieved in the early Eighties in the digital processing of seismic data [21], [22]. Although these two disciplines hold evident differences in the source of propagation, they share identical basics under a signal processing perspective, which consists in a collection of pulsed ...
This survey of radar signal processing will consider the three broad areas of coherent processing (that is, processing of amplitude and phase), noncoherent processing (that is, processing of amplitude), and track-while-scan systems. The chapter also discusses tracking system which covers the tracking filter, correlation logic, track initiation ...
Vector network analyzer (VNA) FFT processing gain. 1. Introduction. Stepped-frequency radar is a prominent candidate in the class of continuous-wave (cw) radars which is often realized in scientific ground penetrating radar (GPR) research by means of commercially available measurement devices, such as vector network analyzers (VNA).
To apply mismatched filters to MIMO radar, we introduce the traditional strategy and propose a new one. Instead of attempting to minimize all auto-correlations and cross-correlations of all waveforms as in the traditional strategy, our proposed strategy directly optimizes the mismatched filter of the synthesis signal for each considered direction.
However, analyzing point clouds, particularly RADAR data, is not well-studied due to their irregular structures and geometry, which are unsuitable for 2D signal processing. To this end, we propose graph signal processing (GSP) based classification methods for RADAR point clouds.
Abstract. In this paper, we propose a novel energy-focused slow-time MIMO radar and signal processing scheme, aimed at addressing key challenges in slow-time coding and signal processing technology. Conventional slow-time MIMO radar faces issues such as energy waste due to the omnidirectional transmit beampattern of orthogonal coding and the ...
The processing of radar data requires some refined signal analysis to detect constructive interference between overlapping echoes. It is performed from timely data by a supervised machine learning method namely, Support Vector Machines (SVM) and compared to the conventional reference method, namely, the Amplitude Ratio Test (ART), which is ...
An International Journal, A publication of the European Association for Signal Processing (EURASIP) Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work covering novel signal processing tools as well as tutorial and review …. View full aims & scope.