Topic
Secondary surveillance radar
About: Secondary surveillance radar is a research topic. Over the lifetime, 1798 publications have been published within this topic receiving 14729 citations. The topic is also known as: SSR.
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TL;DR: This work presents a new adaptive algorithm, called the Joint-Domain Localized Generalized Likelihood Ratio detection (JDL-GLR), which is data efficient i.e., with fast convergence to the joint-domain optimum, as well as computationally efficient, together with such desirable features as the embedded constant false-alarm rate (CFAR) and robustness in non-Gaussian interference.
Abstract: Implementing the optimum spatial-temporal (angle-Doppler) processor involves two crucial issues: the selection of processing configurations, and the development of adaptive algorithms which can efficiently approach the performance potential of the selected configuration. Among the three available configurations, the joint-domain, the cascade space-time, and the cascade time-space, this work shows that, in contrast to a popular belief, the detection performance potentials of both cascade configurations can fall far below that of the joint-domain optimum. In addition, this work presents a new adaptive algorithm, called the Joint-Domain Localized Generalized Likelihood Ratio detection (JDL-GLR), which is data efficient i.e., with fast convergence to the joint-domain optimum, as well as computationally efficient, together with such desirable features as the embedded constant false-alarm rate (CFAR) and robustness in non-Gaussian interference. >
460 citations
07 Nov 2004
TL;DR: The theory behind the improved surveillance radar performance is described and measurements from experimental MIMO radars are illustrated, showing the effect of adaptively controlling the transmit beamshape and the spatial extent provides improved track-while-scan accuracy.
Abstract: The continuing progress of Moore's law has enabled the development of radar systems that simultaneously transmit and receive multiple coded waveforms from multiple phase centers and to process them in ways that have been unavailable in the past. The signals available for processing from these multiple-input multiple-output (MIMO) radar systems appear as spatial samples corresponding to the convolution of the transmit and receive aperture phase centers. The samples provide the ability to excite and measure the channel that consists of the transmit/receive propagation paths, the target and incidental scattering or clutter. These signals may be processed and combined to form an adaptive coherent transmit beam, or to search an extended area with high resolution in a single dwell. Adaptively combining the received data provides the effect of adaptively controlling the transmit beamshape and the spatial extent provides improved track-while-scan accuracy. This paper describes the theory behind the improved surveillance radar performance and illustrates this with measurements from experimental MIMO radars.
432 citations
01 Apr 1990
TL;DR: In this paper, the amplitude and correlation properties of high-resolution radar backscatter (sea clutter) can be accurately represented by the compound K-distribution model which has the unique characteristic of providing realistic performance predictions for a wide range of signal processing techniques.
Abstract: The successful optimisation of the detection performance of maritime surveillance radars requires a detailed knowledge and understanding of both forward and backscattering from the ocean surface. Such an understanding enables the development of suitable signal processing techniques. In part I the authors discuss radar scattering from an ocean environment. It is shown, through the analysis of full-scale measurements, how the amplitude and correlation properties of high-resolution radar backscatter (sea clutter) can be accurately represented by the compound K-distribution model which has the unique characteristic of providing realistic performance predictions for a wide range of signal processing techniques. In addition to modelling noncoherent clutter, it is shown how the spectral and polarisation characteristics of coherently detected sea clutter relate to those observed in the noncoherent case. Results are also presented of forward-scattering and multipath propagation. This includes a consideration of the importance of the spatial and temporal coherence of the forward-scattered wavefront.
393 citations
TL;DR: The parametric adaptive matched filter (PAMF) for space-time adaptive processing (STAP) is introduced via the matched filter, multichannel linear prediction, and the multichannels LDU decomposition.
Abstract: The parametric adaptive matched filter (PAMF) for space-time adaptive processing (STAP) is introduced via the matched filter (MF), multichannel linear prediction, and the multichannel LDU decomposition. Two alternative algorithmic implementations of the PAMF are discussed. Issues considered include sample training data size and constant false alarm rate (CFAR). Detection test statistics are estimated for airborne phased array radar measurements, and probability of detection is estimated using simulated phased array radar data for airborne surveillance radar scenarios. For large sample sizes, the PAMF performs close to the MF; performance degrades slightly for small sample sizes. In both sample size ranges, the PAMF is tolerant to targets present in the training set.
244 citations