Dual‐radar coherently combining: generalised paradigm and verification example

Structure‐based joint estimation algorithm for distributed coherent aperture radar

“…If the variables τ 11 ,τ 1n , τ n1 and τ nn are given, then we can obtain the estimates of x 11 , x 1n , x n1 and x nn by the least-squares technique (12), the optimisation problem can be transformed as the following problem which only involves the time delay parameter…”

“…Recent years have witnessed an increasing interest in distributed coherent aperture radar [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. This new concept radar, consisting of several widely distributed small aperture radar units, is proposed to overcome some disadvantages of traditional large aperture radars, such as the inconvenience of transportation, expensive costs of building and so on.…”

Performance gain bounds of coherently combining multiple radars in a target-based calibration manner#br#

“…Put it more concretely, if the signal transmitted by radar 1 (reference radar) arrives at the target after the signal transmitted by radar 2, proper time and phase adjustments for radar 2 are needed to slow down and retard its transmitting time and phase appropriately. Such calibration processes can be formulated as follows [7,8].…”

“…In [7], a clean signal reconstruction approach was proposed to solve the bias in this CPs estimation due to transmitting non-ideally orthogonally waveforms. A generalize dualradar coherently combining paradigm was proposed in [8], which clearly explained how to coherently combine dualradar based on a moving target. In [9 -11], a dual-radar coherently combining system based on step frequency signal was proposed to enhance the system robustness to time synchronization error.…”