Results 41 to 50 of about 382 (172)
Fog computing has been applied to the data processing for the Internet of Things (IoT) based on distributed high-precision Global Navigation Satellite Systems (GNSS).
Fang Hao +6 more
doaj +1 more source
In this paper, we first establish the dual‐band airborne radar wideband echo signal model and propose a space‐time‐frequency adaptive processing method based on it. Firstly, in the passive mode, the poles of the dual band are estimated by the matrix pencil method, and the incoherent components are estimated through the phase relationship between the ...
Ming Hou +6 more
wiley +1 more source
Space-time adaptive processing (STAP) is a fundamental topic in airborne radar applications due to its clutter suppression ability. Reduced-dimension (RD)-STAP can release the requirement of the number of training samples and reduce the computational ...
Di Song +4 more
doaj +1 more source
This paper analyzes the clutter rank under range ambiguity in EPC‐MIMO radar. ABSTRACT Space‐time adaptive processing (STAP) with element‐pulse coding (EPC)‐multiple‐input multiple‐output (MIMO) radars is capable of suppressing range ambiguous clutter in airborne radar fields. However, clutter rank has not been investigated in EPC‐MIMO radars, which is
Di Song +5 more
wiley +1 more source
Clutter Suppression Approach for End-Fire Array Airborne Radar Based on Adaptive Segmentation
End-fire array antenna is a kind of special radar antenna with beam pointing perpendicular to the normal direction of the array. Because of its low profile and directional radiation characteristics, it is especially suitable for blind zone compensation ...
Yongwei Li +3 more
doaj +1 more source
Joint 2‐D LFM Modulation and Mismatched Filter Design in Dual‐Function Radar‐Communication System
This paper proposes a joint 2‐D LFM modulation and mismatched filtering design for military‐grade dual‐function radar‐communication systems. The novel scheme modulates data onto both the initial frequency and chirp rate of LFM pulses, boosting data rates whilst preserving the constant‐envelope property critical for high‐power transmission.
Kehao Wang +5 more
wiley +1 more source
Direct Data Domain Sparsity-Based STAP Utilizing Subaperture Smoothing Techniques
We propose a novel direct data domain (D3) sparsity-based space-time adaptive processing (STAP) algorithm utilizing subaperture smoothing techniques for airborne radar applications.
Zhaocheng Yang +4 more
doaj +1 more source
Anti-jamming method for STAP based on a bi-phase random-coded signal
The scattered-wave sweeping frequency jamming occupies many space-time adaptive processing (STAP) degrees of freedom, which results in a serious decline in STAP performance. To solve this problem, an anti-jamming method of STAP based on a bi-phase random-
Weijie Ye +3 more
doaj +1 more source
Traditional ambiguity resolution methods relying on local decision mechanisms and idealised numerical rules are prone to performance degradation in complex scenarios characterised by low SNR and dense residual clutter. To address this limitation, this paper proposes a physics‐guided spatio‐temporal transformer (PG‐STT) algorithm, where physically ...
Yuxin Zuo +3 more
wiley +1 more source
Space-Time Adaptive Processing (STAP) algorithm has recently been used in Passive Bi-static Radars (PBR) because it removes the clutter and non-cooperative transmitter efiectively making the target detection easy in harsh environments like air-ground. Real- time implementation of STAP is a very challenging task as it is computationally-intensive, time ...
Zia Ul Mahmood +3 more
openaire +1 more source

