TY - JOUR
T1 - Design of Sum and Difference Patterns with Common Nulls and Low SLLs Simultaneously in the Presence of Array Errors
AU - Xu, Yanhong
AU - Shi, Xiaowei
AU - Wang, Anyi
AU - Xu, Jingwei
PY - 2019/2
Y1 - 2019/2
N2 - Sum ( Σ ) and difference ( Δ ) beampatterns are commonly utilized to estimate the bearings of targets in radar system. However, the nulls of Δ -pattern are not always aligned with those of Σ -pattern and this phenomenon would become more severe in practical scenario since the array errors exist. Meanwhile, the sidelobe level (SLL) of the array would also increase due to the unavoidable errors. The above described factors would dramatically decrease the performance of radar in adaptive suppression of interference. To increase the output signal-to-interference-plus-noise ratio (SINR) of radar system, this paper presents an approach to design the low SLL ΣΔ -patterns where the nulls of the Δ -pattern, excluding the central null, are always aligned with those of the Σ -pattern in the presence of errors. Two schemes are addressed to obtain the covariance matrix for null-alignment constraint (CM-NAC), which is exploited to force nulling in desired angles accordingly. In the sequel, matrix tapering method is adopted to broaden the nulls and enhance the robustness for the possible errors. With the proposed approach, the low SLL and nulls alignment can be achieved simultaneously. Numerical examples are provided and discussed to demonstrate the effectiveness of the proposed solution, including the results based on a linearly spaced microstrip array antenna.
AB - Sum ( Σ ) and difference ( Δ ) beampatterns are commonly utilized to estimate the bearings of targets in radar system. However, the nulls of Δ -pattern are not always aligned with those of Σ -pattern and this phenomenon would become more severe in practical scenario since the array errors exist. Meanwhile, the sidelobe level (SLL) of the array would also increase due to the unavoidable errors. The above described factors would dramatically decrease the performance of radar in adaptive suppression of interference. To increase the output signal-to-interference-plus-noise ratio (SINR) of radar system, this paper presents an approach to design the low SLL ΣΔ -patterns where the nulls of the Δ -pattern, excluding the central null, are always aligned with those of the Σ -pattern in the presence of errors. Two schemes are addressed to obtain the covariance matrix for null-alignment constraint (CM-NAC), which is exploited to force nulling in desired angles accordingly. In the sequel, matrix tapering method is adopted to broaden the nulls and enhance the robustness for the possible errors. With the proposed approach, the low SLL and nulls alignment can be achieved simultaneously. Numerical examples are provided and discussed to demonstrate the effectiveness of the proposed solution, including the results based on a linearly spaced microstrip array antenna.
KW - array errors
KW - Array signal processing
KW - Covariance matrices
KW - covariance matrix for null-alignment constraint (CM-NAC)
KW - Force
KW - Interference
KW - Radar
KW - Radar antennas
KW - sidelobe reduction
KW - Signal to noise ratio
KW - Sum and difference patterns
UR - http://www.scopus.com/inward/record.url?scp=85056300733&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85056300733&origin=recordpage
U2 - 10.1109/TAP.2018.2880100
DO - 10.1109/TAP.2018.2880100
M3 - RGC 21 - Publication in refereed journal
SN - 0018-926X
VL - 67
SP - 934
EP - 944
JO - IEEE Transactions on Antennas and Propagation
JF - IEEE Transactions on Antennas and Propagation
IS - 2
ER -